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Journal of the American Statistical Association Index to Volume 95 (2000) ARTICLES (BY AUTHOR) A = Applications and Case Studies; TM = Theory and Methods; G = General Akritas, Michael, and Arnold, Steven, “Asymptotics for sign: Applications to a Follow-Up Study of Lead Expo- Analysis of Variance When the Number of Levels Is sure and Attention,” 383 (A) Large,” 212 (TM) Brown, Lawrence D., “An Essay on Statistical Decision Allenby, Greg M. (see Rossi, Peter E.) Theory,” 1277 (G) Browne, Michael W., “Psychometrics,” 661 (G) Amemiya, Yasuo (see Wall, Melanie M.) Brumback, Babette A., Ryan, Louise M., Schwartz, Joel Arjas, Elia (see Auranen, Kari) D., Neas, Lucas M., Stark, Paul C., and Burge, Harriet Arnold, Steven (see Akritas, Michael) A., “Transitional Regression Models, With Application Auranen, Kari, Arjas, Elia, Leino, Tuija, and Takala, Aino to Environmental Time Series,” 16 (A) K., “Transmission of Pneumococcal Carriage in Families: Buckland, Stephen T. (see Trenkel, Verena M.) A Latent Markov Process Model for Binary Longitudinal Burge, Harriet A. (see Brumback, Babette A.) Data,” 1044 (A) Buyse, Steven, Fagerstrom, Richard, and Ying, Zhiliang, Baker, Stuart G., “Analyzing a Randomized Cancer Preven- “A Class of Weighted Log-Rank Tests for Survival Data tion Trial With a Missing Binary Outcome, an Auxiliary When the Event Is Rare,” 249 (TM) Variable, and All-or-None Compliance,” 43 (A) Cai, Zongwu, Fan, Jianqing, and Li, Runze, “Efficient Esti- Bayarri, M. J., and Berger, James O., “P Values for Com- mation and Inferences for Varying-Coefficient Models,” posite Null Models,” 1127 (TM); Rejoinder, 1168 (TM) 888 (TM) Beck, Nathaniel L., “Political Methodology: A Welcoming Cai, Zongwu, Fan, Jianging, and Yao, Qiwei, “Functional- Discipline,” 651 (G) Coefficient Regression Models for Nonlinear Time Se- Becker, Mark P., “Statistics in Business and Social Science,” ries,” 941 (TM) 628 (G) Cao, Jin, Davis, Drew, Vander Wiel, Scott, and Yu, Bin, “Time-Varying Network Tomography: Router Link Beran, Rudolf, “REACT Scatterplot Smoothers: Supereffi- Data,” 1063 (A) ciency Through Basis Economy,” 155 (TM) Cappé, Olivier, and Robert, Christian P., “Markov Chain Berger, James O., “Bayesian Analysis: A Look at Today Monte Carlo: 10 Years and Still Running!” 1282 (G) and Thoughts of Tomorrow,” 1269 (G) (see also Bayarri, Carlin, Bradley P. (see Mugglin, Andrew S.) M. J.) Carlin, Bradley P., and Louis, Thomas A., “Empirical Berger, Mark C. (see Black, Dan A.) Bayes: Past, Present and Future,” 1286 (G) Berry, Donald A. (see Iversen, Edwin S., Jr.) Carroll, Raymond J. (see Lin, Xihong) Best, Nicola G., Ickstadt, Katja, and Wolpert, Robert L., Carter, Chris (see Gerlach, Richard) “Spatial Poisson Regression for Health and Exposure Casella, George, “Afterword,” 1368 (G); “Vignettes for the Data Measured at Disparate Resolutions,” 1076 (A) Year 2000: Theory and Methods,” 1269 (G) Bickel, Peter J., and Ritov, Ya’acov, Comment on Murphy, Casella, George, and Schwartz, Stephen P., Comment on S. A., and van der Vaart, A. W., 466 (TM) Dawid A. P., 425 (TM) Black, Dan A., Berger, Mark C., and Scott, Frank A., Celeux, Gilles, Hurn, Merrilee, and Robert, Christian P., “Bounding Parameter Estimates With Nonclassical Mea- “Computational and Inferential Difficulties With Mixture Posterior Distributions,’ 957 (TM) surement Error,” 739 (A) Cheang, Wai-Kwong, and Reinsel, Gregory C., “Bias Re- Boos, Dennis D., Comment on Bayarri, M. J., and Berger, duction of Autoregressive Estimates in Time Series Re- James O., and on Robins, James M., van der Vaart, Aad, gression Model Through Restricted Maximum Likeli- and Ventura, Valérie, 1163 (TM) hood,” 1173 (TM) Boos, Dennis D., and Zhang, Ji, “Monte Carlo Evaluation Chen, Chun-Houh (see Li, Ker-Chau) of Resampling-Based Hypothesis Tests,” 482 (TM) Chen, Ying Qing, and Wang, Mei-Cheng, “Analysis of Ac- Bosch, Ronald J. (see Fine, Jason P.) celerated Hazards Models,” 608 (TM) Breslow, Norman E., “Statistics in the Life and Medical Chinchilli, Vernon M. (see Putt, Mary E.) Sciences,” 281 (G) Christensen, Ronald, “Linear and Log-Linear Models,” Brookmeyer, Ron (see Gray, Sarah M.) 1290 (G) Brown, C. Hendricks, Indurkhya, Alka, and Kellam, Shep- Cleveland, William S., and Sun, Don X., “Internet Traffic pard G., “Power Calculations for Data Missing by De- Data,” 979 (G) 1388 Journal of the American Statistical Association Index to Volume 95 (2000) ARTICLES (BY AUTHOR) A = Applications and Case Studies; TM = Theory and Methods; G = General Akritas, Michael, and Arnold, Steven, “Asymptotics for sign: Applications to a Follow-Up Study of Lead Expo- Analysis of Variance When the Number of Levels Is sure and Attention,” 383 (A) Large,” 212 (TM) Brown, Lawrence D., “An Essay on Statistical Decision Allenby, Greg M. (see Rossi, Peter E.) Theory,” 1277 (G) Browne, Michael W., “Psychometrics,” 661 (G) Amemiya, Yasuo (see Wall, Melanie M.) Brumback, Babette A., Ryan, Louise M., Schwartz, Joel Arjas, Elia (see Auranen, Kari) D., Neas, Lucas M., Stark, Paul C., and Burge, Harriet Arnold, Steven (see Akritas, Michael) A., “Transitional Regression Models, With Application Auranen, Kari, Arjas, Elia, Leino, Tuija, and Takala, Aino to Environmental Time Series,” 16 (A) K., “Transmission of Pneumococcal Carriage in Families: Buckland, Stephen T. (see Trenkel, Verena M.) A Latent Markov Process Model for Binary Longitudinal Burge, Harriet A. (see Brumback, Babette A.) Data,” 1044 (A) Buyse, Steven, Fagerstrom, Richard, and Ying, Zhiliang, Baker, Stuart G., “Analyzing a Randomized Cancer Preven- “A Class of Weighted Log-Rank Tests for Survival Data tion Trial With a Missing Binary Outcome, an Auxiliary When the Event Is Rare,” 249 (TM) Variable, and All-or-None Compliance,” 43 (A) Cai, Zongwu, Fan, Jianqing, and Li, Runze, “Efficient Esti- Bayarri, M. J., and Berger, James O., “P Values for Com- mation and Inferences for Varying-Coefficient Models,” posite Null Models,” 1127 (TM); Rejoinder, 1168 (TM) 888 (TM) Beck, Nathaniel L., “Political Methodology: A Welcoming Cai, Zongwu, Fan, Jianging, and Yao, Qiwei, “Functional- Discipline,” 651 (G) Coefficient Regression Models for Nonlinear Time Se- Becker, Mark P., “Statistics in Business and Social Science,” ries,” 941 (TM) 628 (G) Cao, Jin, Davis, Drew, Vander Wiel, Scott, and Yu, Bin, “Time-Varying Network Tomography: Router Link Beran, Rudolf, “REACT Scatterplot Smoothers: Supereffi- Data,” 1063 (A) ciency Through Basis Economy,” 155 (TM) Cappé, Olivier, and Robert, Christian P., “Markov Chain Berger, James O., “Bayesian Analysis: A Look at Today Monte Carlo: 10 Years and Still Running!” 1282 (G) and Thoughts of Tomorrow,” 1269 (G) (see also Bayarri, Carlin, Bradley P. (see Mugglin, Andrew S.) M. J.) Carlin, Bradley P., and Louis, Thomas A., “Empirical Berger, Mark C. (see Black, Dan A.) Bayes: Past, Present and Future,” 1286 (G) Berry, Donald A. (see Iversen, Edwin S., Jr.) Carroll, Raymond J. (see Lin, Xihong) Best, Nicola G., Ickstadt, Katja, and Wolpert, Robert L., Carter, Chris (see Gerlach, Richard) “Spatial Poisson Regression for Health and Exposure Casella, George, “Afterword,” 1368 (G); “Vignettes for the Data Measured at Disparate Resolutions,” 1076 (A) Year 2000: Theory and Methods,” 1269 (G) Bickel, Peter J., and Ritov, Ya’acov, Comment on Murphy, Casella, George, and Schwartz, Stephen P., Comment on S. A., and van der Vaart, A. W., 466 (TM) Dawid A. P., 425 (TM) Black, Dan A., Berger, Mark C., and Scott, Frank A., Celeux, Gilles, Hurn, Merrilee, and Robert, Christian P., “Bounding Parameter Estimates With Nonclassical Mea- “Computational and Inferential Difficulties With Mixture Posterior Distributions,’ 957 (TM) surement Error,” 739 (A) Cheang, Wai-Kwong, and Reinsel, Gregory C., “Bias Re- Boos, Dennis D., Comment on Bayarri, M. J., and Berger, duction of Autoregressive Estimates in Time Series Re- James O., and on Robins, James M., van der Vaart, Aad, gression Model Through Restricted Maximum Likeli- and Ventura, Valérie, 1163 (TM) hood,” 1173 (TM) Boos, Dennis D., and Zhang, Ji, “Monte Carlo Evaluation Chen, Chun-Houh (see Li, Ker-Chau) of Resampling-Based Hypothesis Tests,” 482 (TM) Chen, Ying Qing, and Wang, Mei-Cheng, “Analysis of Ac- Bosch, Ronald J. (see Fine, Jason P.) celerated Hazards Models,” 608 (TM) Breslow, Norman E., “Statistics in the Life and Medical Chinchilli, Vernon M. (see Putt, Mary E.) Sciences,” 281 (G) Christensen, Ronald, “Linear and Log-Linear Models,” Brookmeyer, Ron (see Gray, Sarah M.) 1290 (G) Brown, C. Hendricks, Indurkhya, Alka, and Kellam, Shep- Cleveland, William S., and Sun, Don X., “Internet Traffic pard G., “Power Calculations for Data Missing by De- Data,” 979 (G) 1388 Index to Volume 95 1389 Cook, R. Dennis, and Critchley, Frank, “Identifying Regres- Fine, Jason P., and Bosch, Ronald J., “Risk Assessment via sion Outliers and Mixtures Graphically,” 781 (TM) a Robust Probit Model, With Application to Toxicology,” Cox, D. R., Comment on Dawid, A. P., 424 (TM) 375 (A) Critchley, Frank (see Cook, R. Dennis) Fischetti, Matteo, and Gonzalez, Juan José Salazar, “Mod- D’ Agostino, Ralph B., Jr., and Rubin, Donald B., “Estimat- els and Algorithms for Optimizing Cell Suppression in ing and Using Propensity Scores With Partially Missing Tabular Data With Linear Constraints,” 916 (TM) Data,” 749 (A) Follmann, Dean A., “On the Effect of Treatment Among Would-Be Treatment Compliers: An Analysis of the Mul- Davis, Drew (see Cao, Jin) tiple Risk Factor Intervention Trial,’ 1101 (A) Dawid, A. P., “Casual Inference Without Counterfactuals,” Galecki, Andrzej T. (see Preisser, John S.) 407 (TM); Rejoinder, 444 (TM) Gelfand, Alan E., “Gibbs Sampling,” 1300 (G); (see also Doss, Hani (see Li, Shuying) Mugglin, Andrew S.) Duncan, George T., and Mukherjee, Sumitra, “Optimal Dis- Genovese, Christopher R., “A Bayesian Time-Course Model closure Limitation Strategy in Statistical Databases: De- for Functional Magnetic Resonance Imaging Data,” 691 terring Tracker Attacks Through Additive Noise,’ 720 (A); Rejoinder, 716 (A) (A) George, Edward I., “The Variable Selection Problem,” 1304 Dunson, David B. (see Weinberg, Clarice R.) (G) Dunson, David B., and Zhou, Haibo, “A Bayesian Model Gerlach, Richard, Carter, Chris, and Kohn, Robert, “Effi- for Fecundability and Sterility,” 1054 (A) cient Bayesian Inference for Dynamic Mixture Models,” Duval, Sue, and Tweedie, Richard, “A Nonparametric “Trim 819 (TM) and Fill’ Method of Accounting for Publication Bias in Gianola, Daniel, “Statistics in Animal Breeding,” 296 (G) Meta-Analysis,’ 89 (TM) Gonzalez, Juan José Salazar (see Fischetti, Matteo) Efron, Bradley, “The Bootstrap and Modern Statistics,” Gray, Sarah M., and Brookmeyer, Ron, “Multidimensional 1293 (G) Longitudinal Data: Estimating a Treatment Effect From Continuous, Discrete, or Time-to-Event Response Vari- Eisenberg, Theodore, “Empirical Methods and the Law,” ables,” 396 (A) 665 (G) Greenland, Sander, “Causal Analysis in the Health Sci- Ellenberg, Jonas H., “Statisticians’ Significance,” | (Presi- ences,” 286 (G); (see also Robins, James) dential Address) Guenni, Lelys (see Sans6, Bruno) Elliott, Michael R., and Little, Roderick J. A., “A Bayesian Gullapalli, Rao P. (see Maitra, Ranjan) Approach to Combining Information From a Census, a Gunter, Bert, and Holder, Dan, “Statistics in Preclinical Coverage Measurement Survey, and Demographic Anal- Pharmaceutical Research and Development,” 998 (G) ysis,” 351 (A) Gustafson, Paul, “Bayesian Regression Modeling With In- Eliiott, Michael R., Little, Roderick J. A., and Lewitzky, teractions and Smooth Effects,” 795 (TM) Steve, “Subsampling Callbacks to Improve Survey Eff- Guttorp, Peter, “Environmental Statistics,” 289 (G) ciency,” 730 (A) Hall, Peter (see Feuerverger, Andrey) Elston, David A. (see Trenkel, Verena M.) Hansen, Mark (see Nair, Vijay) Evans, Michael, Comment on Bayarri, M. J., and Berger, Harrington, David P., “The Randomized Clinical Trial,” 312 James O., and on Robins, James M., van der Vaart, Aad, (G) and Ventura, Valérie, 1160 (TM); Comment on Royall, Hawkins, Douglas M. (see Stromberg, Arnold J.) Richard, 768 (TM) Haynor, David R., Comment on Genovese, Christopher R.., Fagerstrom, Richard (see Buyse, Steven) 704 (A) Fan, Jianqing, “Prospects of Nonparametric Modeling,” He, Xuming (see Portnoy, Stephen) Heagerty, Patrick J., and Lumley, Thomas, “Window Sub- 1296 (G); (see also Cai, Zongwu) sampling of Estimating Functions With Application to Fan, Jianqing, Hung, Hui-Nien, and Wong, Wing-Hung, Regression Models,” 197 (TM) “Geometric Understanding of Likelihood Ratio Statis- Hettmansperger, Thomas P., McKean, Joseph W., and tics,” 836 (TM) Sheather, Simon J., “Robust Nonparametric Methods,” Fan, Jianging, and Wong, Wing-Hung, Comment on Mur- 1308 (G) phy, S. A., and van der Vaart, A. W., 468 (TM) Higdon, Dave, Comment on Genovese, Christopher R., 705 Fang, Zhide, and Weins, Douglas P., “Integer- Valued, Min- (A) imax Robust Designs for Estimation and Extrapolation Hobert, James P., “Hierarchical Models: A Current Com- in Heteroscedastic, Approximately Linear Models,” 807 putational Perspective,” 1312 (G) (TM) Holder, Dan (see Gunter, Bert) Feuerverger, Andrey, and Hall, Peter, “Methods for Density Horowitz, Joel L., and Manski, Charles F., “Nonparamet- Estimation in Thick-Slice Versions of Wicksell’s Prob- ric Analysis of Randomized Experiments With Missing lem,” 535 (TM) Covariate and Outcome Data,” 77 (TM); Rejoinder, 87 Fienberg, Stephen E., “Contingency Tables and Log-Linear (TM) Models: Basic Results and New Developments,” 643 (G) Hossjer, Ola (see Stromberg, Arnold J.) 1390 Journal of the American Statistical Association, December 2000 Huang, Yijian, and Wang, C. Y., “Cox Regression With Lin, Xihong, and Carroll, Raymond J., “Nonparametric Accurate Covariates Unascertainable: A Nonparametric- Function Estimation for Clustered Data When the Pre- Correction Approach,” 1209 (TM) dictor Is Measured Without/With Error,” 520 (TM) Huang, Yijian, “Two-Sample Multistate Accelerated So- Little, Roderick J. A. (see Elliott, Michael R.) journ Times Model,” 619 (TM) Liu, Chuanhai, “Estimation of Discrete Distributions With Hughes, James P., and Richardson, Barbra A., “Analysis of a Class of Simplex Constraints,” 109 (TM) a Randomized Trial to Prevent Vertical Transmission of Liu, Jun S., Liang, Faming, and Wong, Wing Hung, HIV-1,” 1032 (A) ' “The Multiple-Try Method and Local Optimization in Metropolis Sampling,” 121 (TM) Hung, Hui-Nien (see Fan, Jianging) Lloyd, Chris J., and Jones, M. C., “Nonparametric Den- Hurn, Merrilee (see Celeux, Gilles) sity Estimation From Biased Data With Unknown Bias- Ickstadt, Katja (see Best, Nicola, G.) ing Function,’ 865 (TM) Indurkhya, Alka (see Brown, C. Hendricks) Lo, Andrew W., “Finance: A Selective Survey,” 629 (G) Iversen, Edwin S., Jr., Parmigiani, Giovanni, Berry, Donald Logan, Roger (see Spiegelman, Donna) A., and Schildkraut, Joellen M., “Genetic Susceptibility Lohman, Kurt K. (see Preisser, John S.) and Survival: Application to Breast Cancer,” 28 (A) Lohr, Sharon L., and Rao, J. N. K., “Inference From Dual Jones, M. C. (see Lloyd, Chris J.) Frame Surveys,” 271 (TM) Jung, Hui-Nien (see Fan, Jianging) Louis, Thomas A. (see Carlin, Bradley P.) Kalbfleisch, John D., Comment on Royall, Richard, 770 Lue, Heng-Hui (see Li, Ker-Chau) (TM) Lumley, Thomas (see Heagerty, Patrick J.) Kass, Robert E. (see Natarajan, Ranjini) Lynn, Henry S., and McCulloch, Charles E., “Using Princi- Kellam, Sheppard G. (see Brown, C. Hendricks) pal Components Analysis and Correspondence Analysis Kim, Jong Tae, “An Order Selection Criterion for Testing for Estimation in Latent Variable Models,” 561 (TM) Goodness of Fit,’ 829 (TM) Maitra, Ranjan, and Gullapalli, Rao P., Comment on Gen- Kjell, Gunnar, “The Level-Based Stratified Sampling Plan,” ovese, Christopher R., 707 (A) 1185 (TM) Manski, Charles F. (see Horowitz, Joel L.) Kohn, Robert (see Gerlach, Richard) Marden, John I., Comment on Bayarri, M. J., and Berger, Kovac, Arne, and Silverman Bernard W., “Extending the James O., and on Robins, James M., van der Vaart, Aad, Scope of Wavelet Regression Methods by Coefficient- and Ventura, Valérie, 1164 (TM); “Hypothesis Testing Dependent Thresholding,” 172 (TM) From p Values to Bayes Factors,” 1316 (G) Kulich, Michal, and Lin, D. Y., “Additive Hazards Regres- McCulloch, Charles E., “Generalized Linear Models,” 1320 sion With Covariate Measurement Error,” 238 (TM) (G) (see also Lynn, Henry S.) Kvam, Paul H., Tiwari, Ram C., and Zalkikar, Jyoti McKean, Joseph W. (see Hettmansperger, Thomas P.) N., “Nonparametric Bayes Estimation of Contamination Meeden, Glen, “A Decision Theoretic Approach to Impu- Levels Using Observations From the Residual Distribu- tation in Finite Population Sampling,” 586 (TM) tion,” 1119 (A) Mehta, Cyrus R., Patel, Nitin R., and Senchaudhuri, Pralay, Lagakos, Stephen W. (see Weinberg, Janice M.) “Efficient Monte Carlo Methods for Conditional Logistic Regression,” 99 (TM) Lambert, Diane, “Statistics in the Physical Sciences and Meng, Xiao-Li, “Missing Data: Dial M for ???” 1325 (G) Engineering,” 971 (G) Lawless, Jerry, “Statistics in Reliability,” 989 (G) Mugglin, Andrew S., Carlin, Bradley P., and Gelfand, Alan E., “Fully Model-Based Approaches for Spatially Mis- Lee, Thomas C. M., “A Minimum Description Length- aligned Data,” 877 (TM) Based Image Segmentation Procedure, and Its Compari- Mukherjee, Sumitra (see Duncan, George T.) son With a Cross-Validation-Based Segmentation Proce- Murphy, S. A., and van der Vaart, A. W., “On Profile Like- dure.” 259 (TM) lihood,” 449 (TM); Rejoinder, 482 (TM) Leino, Tuija (see Auranen, Kari) Nair, Vijay, Hansen, Mark, and Shi, Jan, “Statistics in Ad- Lewitzky, Steve (see Elliott, Michael R.) vanced Manufacturing,” 1002 (G) Li, Bing, Comment on Murphy, S. A., and van der Vaart, Nandram, Balgobin, Sedransk, J., and Pickle, Linda A. W., 472 (TM) Williams, “Bayesian Analysis and Mapping of Mortal- Li, Ker-Chau, Lue, Heng-Hui, and Chen,Chun-Houh, “In- ity Rates for Chronic Obstructive Pulmonary Disease,” teractive Tree-Structured Regression via Principal Hes- 1110 (A) sian Directions,” 547 (TM) Natarajan, Rarjini, and Kass, Robert E., “Reference Li, Runze (see Cai, Zongwu) Bayesian Methods for Generalized Linear Mixed Mod- Li, Shuying, Pearl, Dennis K., and Doss, Hani, “Phylo- els,” 227 (TM) genetic Tree Construction Using Markov Chain Monte Neas, Lucas D. (see Brumback, Babette A.) Carlo,” 493 (TM) Nychka, Doug, “Challenges in Understanding the Atmo- Liang, Faming (see Liu, Jun S.) sphere,” 972 (G) Lin, D. Y. (see Kulich, Michal) Oakes, David, “Survival Analysis,” 282 (G) Index to Volume 95 1391 Osborne, Jason A., and Severini, Thomas A., “Inference Robins, James, and Greenland, Sander, Comment on Dawid, for Exponential Order Statistic Models Based on an In- A. P., 431 (TM) tegrated Likelihood Function,” 1220 (TM) Robins, James, and Wasserman, Larry, “Conditioning, Like- Owen, Art, and Zhou, Yi, “Safe and Effective Importance lihood, and Coherence: A Review of Some Foundational Sampling,” 135 (TM) Concepts,” 1340 (G) Parmigiani, Giovanni (see Iversen, Edwin S., Jr.) Robins, James M., Rotnitzky, Andrea, and van der Laan, Mark, Comment on Murphy, S. A., and van der Vaart, A. Patel, Nitin R. (see Mehta, Cyrus R.) W., 477 (TM) Pearl, Dennis K. (see Li, Shuying) Robins, James M., van der Vaart, Aad, and Ventura, Valérie, Pearl, Judea, Comment on Dawid, A. P., 428 (TM) “Asymptotic Distribution of P Values in Composite Null Pena, Edsel A., Comment on Wang, Weijing, and Wells, Models,” 1143 (TM); Rejoinder, 1171 (TM) Martin T., 73 (TM) Robinson, Peter M. (see Velasco, Carlos) Pepe, Margaret Sullivan, “Receiver Operating Characteris- Rosner, Bernard (see Spiegelman, Donna) tic Methodology,” 308 (G) Rossi, Peter E., and Allenby, Greg M., “Statistics and Mar- Percival, D. B. (see Serroukh, A.) keting,” 635 (G) Piccinato, Ludovico, Comment on Bayarri, M. J., and Rotnitzky, Andrea (see Robins, James M.) Berger, James O., and on Robins, James M., van der Royall, Richard, “On the Probability of Observing Mislead- Vaart, Aad, and Ventura, Valérie, 1166 (TM) ing Statistical Evidence,” 760 (TM); Rejoinder, 773 (TM) Pickle, Linda Williams (see Nandram, Balgobin) Rubin, Donald B., Comment on Dawid, A. P., 435 (TM) (see also D’ Agostino, Ralph B., Jr.) Pollock, Kenneth H., “Capture-Recapture Models,” 293 (G) Rubin, Donald B., and Thomas, Neal, “Combining Propen- Polonik, Wolfgang, and Yao, Qiwei, “Conditional Minimum sity Score Matching With Additional Adjustments for Volume Predictive Regions for Stochastic Processes,” Prognostic Covariates,’ 573 (TM) 509 (TM) Ryan, Louise M., “Statistical Issues in Toxicology,” 304 (G); Poole, David, and Raftery, Adrian E., “Inference for Deter- (see also Brumback, Babette A.) ministic Simulation Models: The Bayesian Melding Ap- Ryan, Thomas P. (see Stoumbos, Zachary G.) proach,” 1244 (TM) Sans6, Bruno, and Guenni, Lelys, “A Nonstationary Multi- Portnoy, Stephen, and He, Xuming, “A Robust Journey in site Model for Rainfall,” 1089 (A) the New Millennium,” 1331 (G) Schafer, Joseph L., and Schenker, Nathaniel, “Inference Preisser, John S., Galecki, Andrzej T., Lohman, Kurt K., and With Imputed Conditional Means,” 144 (TM) Wagenknecht, Lynne E., “Analysis of Smoking Trends Schenker, Nathaniel (see Schafer, Joseph L.) With Incomplete Longitudinal Binary Responses,” 1021 Schildkraut, Joellen M. (see Iversen, Edwin S., Jr.) (A) Schwartz, Joel D. (see Brumback, Babette A.) Putt, Mary E., and Chinchilli, Vernon M., “A Robust Analy- Schwartz, Stephen P. (see Casella, George) sis of Crossover Designs Using Multisample Generalized Scott, Frank A. (see Black, Dan A.) L-Statistics,” 1265 (TM) Sedransk, J. (see Nandram, Balgobin) Senchaudhuri, Pralay (see Mehta, Cyrus R.) Raftery, Adrian E., “Statistics in Sociology, 1950-2000,” Serroukh, A., Walden, A. T., and Percival, D. B., “Statistical 654 (G) (see also Poole, David) Properties and Uses of the Wavelet Variance Estimator Raftery, Adrian E., Tanner, Martin A., and Wells, Martin for the Scale Analysis of Time Series,” 184 (TM) T., “Statistics in the Year 2000: Vignettes,” 281 (G) Severini, Thomas A. (see Osborne, Jason A.) Raghunathan, T. E., Comment on Horowitz, Joel L., and Shafer, Glenn, Comment on Dawid, A. P., 438 (TM) Manski, Charles F., 85 (TM) Sheather, Simon J. (see Hettmansperger, Thomas P.) Ramsay, J. O., “Functional Components of Variation in Shen, Xiaotong, Comment on Murphy, S. A., and van der Handwriting,” 9 (A) Vaart, A. W., 474 (TM); “Linear Regression With Current Randles, Ronald H., “A Simpler, Affine-Invariant, Multi- Status Data,” 842 (TM) variate, Distribution-Free Sign Test,” 1263 (TM) Shi, Jan (see Nair, Vijay) Rao, J. N. K. (see Lohr, Sharon L.; Yung, W.) Silverman, Bernard W. (see Kovac, Arne) Raz, Jonathan, Comment on Genovese, Christopher R., 709 Sobel, Michael E., “Causal Inference in the Social Sci- (A) ences,” 647 (G) Solo, V., “The End of Time Series,” 1346 (G) Reid, N., “Likelihood,” 1335 (G) Soofi, Ehsan S., “Principal Information Theoretic Ap- Reinsel, Gregory C. (see Cheang, Wai-Kwong) proaches,” 1349 (G) Reynolds, Marion R., Jr. (see Stoumbos, Zachary G.) Spiegelman, Donna, Rosner, Bernard, and Logan, Roger, Richardson, Barbra A. (see Hughes, James P.) “Estimation and Inference for Logistic Regression With Rissanen, Jorma, and Yu, Bin, “Coding and Compression: Covariate Misclassification and Measurement Error in A Happy Union of Theory and Practice,” 986 (G) Main Study/Validation Study Designs,” 51 (A) Ritov, Ya’acov (see Bickel, Peter J.) Stark, Paul C. (see Brumback, Babette A.) Robert, Christian P. (see Cappé, Olivier; Celeux, Gilles) Stefanski, L. A., “Measurement Error Models,” 1353 (G) 1392 Journal of the American Statistical Association, December 2000 Stern, Hal S., Comment on Bayarri, M. J., and Berger, Walden, A. T. (see Serroukh, A.) James O., and on Robins, James M., van der Vaart, Aad, Wall, Melanie M., and Amemiya, Yasuo, “Estimation for and Ventura, Valérie, 1157 (TM) Polynomial Structural Equation Models,” 929 (TM) Stoumbos, Zachary G., Reynolds, Marion R., Jr., Ryan, Wang, C. Y. (see Huang, Yijian) Thomas P., and Woodall, William H., “The State of Sta- Wang, Mei-Cheng (see Chen, Ying Qing) tistical Process Control as We Proceed Into the 21st Cen- Wang, Weijing, and Wells, Martin T., “Model Selection tury,” 992 (G) and Semiparametric Inference for Bivariate Failure-Time Strawderman, Robert L., “Estimating the Mean of an Data,” 62 (TM); Rejoinder, 75 (TM) Increasing Stochastic Process at a Censored Stopping Wasserman, Larry, Comment on Dawid, A. P., 442 (TM) Time,” 1192 (TM); “Higher-Order Asymptotic Approx- (see also Robins, James) imation: Laplace, Saddlepoint, and Related Methods,” Weinberg, Clarice R., and Dunson, David B., “Some Issues 1358 (G) in Assessing Human Fertility,’ 300 (G) Strawderman, William E., “Minimaxity,” 1364 (G) Weinberg, Janice M., and Lagakos, Stephen W., “Asymp- Stromberg, Arnold J., Héssjer, Ola, and Hawkins, Douglas totic Behavior of Linear Permutation Tests Under Gen- M., “The Least Trimmed Differences Regression Estima- eral Alternatives, With Application to Test Selection and tor and Alternatives,” 853 (TM) Study Design,” 596 (TM) Sun, Don X. (see Cleveland, William S.) Weins, Douglas P. (see Fang, Zhide) Takala, Aino K. (see Auranen, Kari) Weir, B. S., “Challenges Facing Statistical Genetics,’ 319 Tanner, Martin A. (see Raftery, Adrian E.) (G) Thomas, Duncan C., “Some Contributions of Statistics to Wells, Martin T. (see Raftery, Adrian E.; Wang, Weijing) Environmental Epidemiology,” 315 (G) Wolpert, Robert L., Comment on Royall, Richard, 771 (TM) Thomas, Neal (see Rubin, Donald B.) (see also Best, Nicola G.) Tiwari, Ram C. (see Kvam, Paul H.) Wong, A. C. M., Comment on Royall, Richard, 773 (TM) Trenkel, Verena M., Elston, David A., and Buckland, Wong, Wing Hung, “Computational Molecular Biology,” Stephen T., “Fitting Population Dynamics Models to 322 (G) (see also Fan, Jianqing; Liu, Jun S.) Count and Cull Data Using Sequential Importance Sam- Wong, Wing-Hung (see Fan, Jianqing) pling,” 363 (A) Woodall, William H. (see Stoumbos, Zachary G.) Tsay, Ruey S., “Time Series and Forecasting: Brief History Worsley, K. J., Comment on Genovese, Christopher R., 711 and Future Research,” 638 (G) Tweedie, Richard (see Duval, Sue) (A) van der Laan, Mark (see Robins, James M.) Xie, Yu, “Demography: Past, Present, and Future,” 670 (G) van der Vaart, A. W. (see Murphy, S. A.) Yao, Qiwei (see Cai, Zongwu; Polonik, Wolfgang) van der Vaart, Aad (see Robins, James M.) Ying, Zhiliang (see Buyse, Steven) Vander Wiei, Scott (see Cao, Jin) Yu, Bin (see Cao, Jin; Rissanen, Jorma) Velasco, Carlos, and Robinson, Peter M., “Whittle Pseudo- Yung, W., and Rao, J. N. K., “Jackknife Variance Estimation Maximum Likelihood Estimation for Nonstationary Time Under Imputation for Estimators Using Poststratification Series,” 1229 (TM) Information,” 903 (TM) Ventura, Valérie (see Robins, James M.) Zalzikar, Jyoti N. (see Kvam, Paul H.)} Vere-Jones, David, “Seismology - A Statistical Vignette,” Zhang, Ji (see Boos, Dennis, D.) 975 (G) Zhou, Haibo (see Dunson, David B.) Wagenknecht, Lynne E. (see Preisser, John S.) Zhou, Yi (see Owen, Art) BOOKS REVIEWED, BY AUTHOR OR EDITOR Albert, James H. (see Johnson, Valen E.) Borovkov, A. A., Mathematical Statistics, 330 Anderson, David R. (see Burnham, Kenneth P.) Brémaud, Pierre, Markov Chains: Gibbs Fields, Monte Balakrishnan, N. (see Glaz, Joseph) Carlo Simulation, and Queues, 1378 Barlow, Richard E., Engineering Reliability, 682 Brzezniak, Zdzistaw, and Zastawniak, Tomasz, Basic Bell, Stoughton (see Rosenblatt, Judah) Stochastic Processes, 1019 Bloomfield, Peter, Fourier Analysis of Time Series: An In- Burnham, Kenneth P., and Anderson, David R., Model Se- troduction, 1373 lection and Inference: A Practical Information-Theoretic Bohning, Dankmar, Computer-Assisted Analysis of Mixtures Approach, 341 and Applications, 337 Capiznski, Marek, and Kopp, Ekkehard, Measure, Integral Bolch, G., Greiner, S., De Meer, H., and Trivedi, K., Queue- and Probability, 348 ing Networks and Markov Chains: Modeling and Perfor- Carmona, R., and Rozovskii, B., Editors, Stochastic Partial mance Evaluation With Computer Science Applications, Differential Equations: Six Perspectives, 688 346 Casella, George (see Lehmann, E. L.) Bollobas, Béla, Editor, Modern Graph Theory, 1377 Chambers, John, Programming With Data, 676 Index to Volume 95 1393 Chen, Ming-Hui, Shao, Qi-Man, and Ibrahim, Joseph G., Hajek, Jaroslav, Sidak, Zbynek, and Sen, Prnab K., Theory Monte Carlo Methods in Bayesian Computation, 1371 of Rank Tests, 1016 Chilés, Jean-Paul, and Delfiner, Pierre, Geostatistics: Mod- Hart, Jeffrey D., Nonparametric Smoothing and Lack-of-Fit eling Spatial Uncertainty, 335 Tests, 333 Clements, Michael P., and Hendry, David F., Forecasting Hedayat, A. S., Sloane, N. J. A., and Stufken, John, Orthog- Economic Time Series, 687 onal Arrays: Theory and Applications, 677 Conover, W. J., Practical Nonparametric Statistic Hendry, David F. (see Clements, Michael P.) Hofbauer, Josef, and Sigmund, Karl, Evolutionary Games Cox, Lawrence H. (see Nychka, Douglas) and Population Dynamics, 688 Dean, Angela M., and Voss, Daniel T., Design and Analysis Hollander, Myles, and Wolfe, Douglas A., Nonparametric of Experiments, 679 Statistical Methods, 333 de la Pena, Victor H., and Giné, Evarist, Decoupling, From Hosmer, David W., Jr., and Lemeshow, Stanley, Applied Dependence to Independence, Randomly Stopped Pro- Survival Analysis: Regression Modeling of Time to Event cesses, U-Statistics and Processes, Martingales and Be- Data, 681 yond, 1017 Hsu, John S. J. (see Leonard, Thomas) De Meer, H. (see Bolch G.) Ibrahim, Joseph G. (see Chen, Ming-Hui) Delfiner, Pierre (see Chilés, Jean-Paul) Johnson, Valen E., and Albert, James H., Ordinal Data Dembo, Amir, and Zeitouni, Ofer, Large Deviations Tech- Modeling, 1011 niques and Applications, 1380 Kailath, T., and Sayed, A. H., Editors, Fast Reliable Algo- Deslauriers, Gilles (see Dubuc, Serge) rithms for Matrices With Structure, 1019 Dey, Aloke, and Mukerjee, Rahul, Fractional Factorial Karatzas, Ioannis, and Shreve, Steven E., Methods of Math- Plans, 677 ematical Finance, 685 Dubuc, Serge, and Deslauriers, Gilles, Editors, Spline Func- Kim, Chang-Jin, and Nelson, Charles R., State-Space Mod- tions and the Theory of Wavelets, 1008 els With Regime-Switching; Classical and Gibbs Sam- Duflo, Marie, Random Iterative Models, 342 pling Approaches With Applications. 1373 Koopmans, Lambert H., The Spectral Analysis of Time Se- Efromovich, Sam, Nonparametric Curve Estimation: Meth- ries, 1372 ods, Theory and Applications, 1370 Kopp, Ekkehard (see Capinski, Marek) El-Taha, M., and Stidham, S., Jr., Sample-Path Analysis of Kress, Rainer, Numerical Analysis, 348 Queueing Systems, 1378 Kuklarni, V. G., Modeling, Analysis, Design, and Control of Escobar, Luis A. (see Meeker, William Q.) Stochastic Systems, 1018 Farebrother, R. W., Fitting Linear Relationships: A History Lange, Kenneth, Numerical Analysis for Statisticians, 675 of the Calculus of Observations, 1750-1900, 331 Latouche, G., and Ramaswami, V., Introduction to Matrix Fine, Terence L., Feedforward Neural Network Methodol- Analytic Methods in Stochastic Modeling, 1379 ogy, 682 Lee, Eun S. (see Forthofer, Ronald N.) Forthofer, Ronald N., and Lee, Eun S., /ntroduction to Bio- Lehmann, Erich L., Elements of Large-Sample Theory, 328 statistics: A Guide to Design, Analysis, and Discovery, Lehmann, E. L., and Casella, George, Theory of Point Esti- 339 mation, 329 Franses, Philip Hans, Time Series Models for Business and Lemeshow, Stanley (see Hosmer, David W., Jr.) Economic Forecasting, 686 Leonard, Thomas, and Hsu, John S. J., Bayesian Methods: Gamerman, Dani, Markov Chain Monte Carlo: Stochastic An Analysis for Statisticians and Interdisciplinary Re- Simulation for Bayesian Inference, 346 searchers, 679 Gasquet, C., Witomski, P., and Ryan, Robert, Translator, Lewis, Gareth A., Mathieu, Didier, and Phan-Tan-Luu, Fourier Analysis and Applications: Filtering, Numerical Roger, Pharmaceutical Experimental Design, 339 Computation, Wavelets, 349 Lloyd, Christopher J., Statistical Analysis of Categorical Data, 680 Gentle, James E., Numerical Linear Algebra for Applica- Mathieu, Didier (see Lewis, Gareth A.) tions in Statistics, 675 Matyas, Lazl6, Editor, Generalized Method of Moments Es- Giné, Evarist (see de la Pefia, Victor) timation, 1014 Glaz, Joseph, and Balakrishnan, N., Editors, Scan Statistics McDonald, Roderick P., Test Theory: A Unified Treatment, and Applications, 1376 1012 Good, Phillip I., Resampling Methods: A Practical Guide to McQuarrie, Allan D. R., and Tsai, Chih-Ling, Regression Data Analysis, 1376 and Time Series Model Selection, 1008 Granger, Clive W. J., Empirical Modeling in Economics: © Meeker, William Q., and Escobar, Luis A., Statistical Meth- Specification and Evaluation, 1373 ods for Reliability Data, 340 Greiner, S. (see Bolch, G.) Michalewicz, Z., Genetic Algorithms + Data Structures = Grycko, Eugen (see Moeschlin, Otto) Evolution Programs, 347 Guttman, Y. R., The Concept of Probability in Statistical Moeschlin, Otto, Grycko, Eugen, Pohl, Claudia, and Stein- Physics, 1009 ert, Frank, Experimental Stochastics, 343 1394 Journal of the American Statistical Association, December 2000 Mooney, Douglas, and Swift, Randall, A Course in Mathe- Shao, Jun, Mathematical Statistics, 329 matical Modeling, 1017 Shao, Qi-Man (see Chen, Ming-Hui) Mukerjee, Rahul (see Dey, Aloke) Shreve, Steven E. (see Karatzas, Ioannis) Nelson, Charles R. (see Kim, Chang-Jin) Sidak, Zbynek (see Hajek, Jaroslav) Nelson, Roger B., An Introduction to Copulas, 334 Sigmund, Karl (see Hofbauer, Josef) Nievergelt, Yves, Wavelets Made Easy, 1007 Sloane, N. J. A. (see Hedayat, A. S.) Nychka, Douglas, Piegorsch, Walter W., and Cox, Lawrence Stein, Michael L., /nterpolation of Spatial Data: Some The- H., Editors, Case Studies in Environmental Statistics, 345 ory for Kriging, 1010 Phan-Tan-Luu, Roger (see Lewis, Gareth A.) Steinert, Frank (see Moeschlin, Otto) Piegorsch, Walter W. (see Nychka, Douglas) Stidham, S., Jr. (see El-Taha, M.) Pohl, Claudia (see Moeschlin, Otto) Stufken, John (see Hedayat, A. S.) Ramaswami, V. (see Latouche, G.) Swift, Randall (see Mooney, Douglas) Rao, B. L. S. Prakasa, Semimartingales and Their Statistical Terrell, George R., Mathematical Statistics: A Unified In- Inference, 1016 troduction, 331 Reinsel, Gregory C., and Velu, Raja P., Multivariate Re- Teugels, Jozef (see Rolski, Tomasz) duced Rank Regression, Theory and Applications, 683 Trivedi, K. (see Bolch, G.) Resnick, Sidney I., A Probability Path, 342 Tsai, Chih-Ling (see McQuarrie, Allan D. R.) Rolski, Tomasz, Schmidli, Hanspeter, Schmidt, Volker, and Velu, Raja P. (see Reinsel, Gregory C.) Teugels, Jozef, Stochastic Processes for Insurance and Vidakovic, Brani, Statistical Modeling by Wavelets, 1007 Finance, 686 von Storch, Hans, and Zwiers, Francis W., Statistical Anal- Rosenblatt, Judah, and Bell, Stoughton, Mathematical Anal- ysis in Climate Research, 1375 ysis for Modeling, 1017 Voss, Daniel T. (see Dean, Angela M.) Rossi, Peter, Editor, Modelling Stock Market Volatility: Walker, James S., A Primer on Wavelets and Their Scientific Bridging the Gap in Continuous Time, 688 Applications, 1008 Rozovskii, B. (see Carmona, R.) Wilkinson, Leland, The Grammar of Graphics, 1009 Ryan, Robert (see Gasquet, C.) Wilks, Daniel S., Statistical Methods in the Atmospheric Sayed, A. H. (see Kailath, T.) Sciences, 344 Schafer, J. L., Analysis of Incomplete Multivariate Data, Witomski, P. (see Gasquet, C.) 1013 Wolfe, Douglas A. (see Hollander, Myles) Schmidli, Hanspeter (see Rolski, Tomasz) Wolstenholme, Linda C., Reliability Modelling: A Statistical Schmidt, Volker (see Rolski, Tomasz) Approach, 1374 Sen, Prnab K. (see Hajek, Jaroslav) Zastawniak, Tomasz (see Brzezniak, Zdzistaw) Sennott, Linn 1., Stochastic Dynamic Programming and the Zeitouni, Ofer (see Dembo, Amir) Control of Queueing Systems, 343 Zwiers, Francis W. (see von Storch, Hans) BOOKS REVIEWED (TELEGRAPHIC REVIEWS) BY AUTHOR OR EDITOR Azéma, J., Emery, M., Ledoux, M., and Yor, M., Editors, Chen, Xia, Limit Theorems for Functionals of Ergodic Séminaire de Probabilités XXXII, 349 Markov Chains With General State Space, 1020 Balakrishnan, N. (see Panchapakesan, S.) Chen, Zhongying, Li, Yuesheng, Micchelli, Charles A., and Barlow, M. T., and Nualart, D., Lectures on Probability The- Xu, Yuesheng, Advances in Computational Mathematics, ory and Statistics, 349 690 Barndorff-Nielsen, O. E., Kendall, W. S., and van Lieshout, Copper, Gregory F. (see Glymour, Clark) M. N. M., Stochastic Geometry Likelihood and Compu- Coyle, Lester N. (see Lawler, Gregory F.) tation, 138] Devesa, S. S. et al., Atlas of Cancer Mortality in the United Baumert, J. (see Little, T. D.) States, 1382 Borovkov, A. A., Ergodicity and Stability ofS tochastic Pro- Dudewicz, Edward J. (see Karian, Zaven A.) cesses, 349 Dunn, Graham (see Everitt, Brian S.) Boso, D., Nenparametric Statistics for Stochastic Process: Durrett, Rick (see Bramson, Maury) Estimation and Prediction, 1020 Emery, M. (see Azéma, J.) Bramson, Maury, and Durrett, Rick, Editors, Perplexing Everitt, Brian S., Chance Rules: An Informal Guide to Prob- Problems in Probability: Festscrift in Honor of Harry ability, Risk and Statistics, 1020 Kesten, 689 Everitt, Brian S., and Dunn, Graham, Editors, Statistical Bullen, P. S., A Dictionary of Inequalities, 1020 Analysis of Medical Data: New Developments, 349 Chatterjee, Samprit, Hadi, Ali S., and Price, Bertram, Re- Ghosh, Subir, Editor, Multivariate Analysis, Design of Ex- gression Analysis by Example, 1381 periments, and Survey Sampling, 1019 Index to Volume 95 Gibbons, Jean D., Olkin, Ingram, and Sobel, Milton, Select- Olkin, Ingram (see Gibbons, Jean D.) ing and Ordering Populations: A New Statistical Method- Panchapakesan, S., and Balakrishnan, N., Editors, Advances ology, 349 in Statistical Decision Theory and Applications, 689 Glymour, Clark, and Copper, Gregory F., Editors, Compu- Park, Sung H., and Vining, G. Geoffrey, Editors, Statistical tation, Causation and Discovery, 1019 Process Monitoring and Optimization, 138} Grassman, Winfried K., Computational Probability, 1382 Parzen, Emanuel, Stochastic Processes, 1020 Griliches, Zvi, Practicing Econometrics: Essays in Method Pesaran, M. Hashem (see Hsaiao, Cheng) and Application, 689 Pesaran, M. Hashem, and Wickens, Michael R., Editors, Hadi, Ali S. (see Chatterjee, Samprit) Handbook of Applied Econometrics; Vol. 1: Macroeco- Hellekalek, Peter, and Larcher, Gerhard, Editors, Random nomics, 689 and Quasi-Random Point Sets, 350 Price, Bertram (see Chatterjee, Samprit) Hsiao, Cheng, Lahiri, Kajal, Lee, Lung-Fei, and Pesaran, Ryan, Thomas P., Statistical Methods for Quality Improve- M. Hashem, Editors, Analysis of Panels and Limited De- ment, 1382 pendent Models, 689 Saad, David, Editor, On-Line Learning in Neural Networks, Karian, Zaven A., and Dudewicz, Edward J., Modern Sta- 1382 tistical, System, and GPSS Simulation, 349 Schnabel, K. U. (see Little, T. D.) Kendall, W. W. (see Barndorff-Nielsen, O. E.) Sobel, Milton (see Gibbons, Jean D.) Lahiri, Kajal (see Hsiao, Cheng) Strgm, Steinar, Editor, Econometrics and Economic The- Larcher, Gerhard (see Hellekalek, Peter) ory in the 20th Century: The Ragnar Frisch Centennial Lawler, Gregory F., and Coyle, Lester N., Lectures on Con- Symposium, 350 temporary Probability, 689 Triplett, J., Editor, Measuring the Prices of Medical Treat- Ledoux, M. (see Azéma, J.) ments, 1382 Lee, Lung-Fei (see Hsiao, Cheng) Li, Yuesheng (see Chen, Zhongying) van Lieshout, M. N. M. (see Barndorff-Nielsen, O. E.) Little, T. D., Schnabel, K. U., and Baumert, J., Editors, Mod- Vining, G. Geoffrey (see Park, Sung H.) eling Longitudinal and Multilevel Data, 1381 Weisstein, Eric W., CRC Concise Encyclopedia of Mathe- Maddala, G. S., Econometric Methods and Applications, matics, 690 Vols. I and II, 689 White, Halbert, Advances in Econometric Theory: The Se- Micchelli, Charles A. (see Chen, Zhongying) lected Works of Halbert White, 690 Nualart, D. (see Barlow, M. T.) Wickens, Michael R. (see Pesaran, M. Hashem) Olea, Ricardo A., Geostatisticfso r Engineers and Earth Sci- Xu, Yuesheng (see Chen, Zhongying) entists, 1382 Yor, M. (see Azéma, J.) REVIEWERS Albert, James H., 679 Hurd, Harry, 1372 Rutkowski, Marek, 685 Berry, Donald A., 339 Inglis, James, 340 Saloff-Coste, Laurent, 1378 Biihlmann, Hans, 686 Jammalamadaka, Sreenivasa Rao, Schmock, Uwe, 1380 Butler, Ronald W., 682 330, 331, 1008, 1016, 1376 Schork, M. Anthony, 339 Candes, Emmanuel J., 682 Jones, M. C., 1370 Sigman, K., 1378 Coakley, Clint W., 332 Kuersteiner, Guido M., 1014 Sérenson, Michael, 1016 Cowles, Mary Kathryn, 675, 1011 Lang, Joseph B., 680 Stein, Michael L., 335 Levine, Richard A., 344 Stoffer, David S., 1373 Diaconis, Persi, 342, 1009, 1377 Littell, Ramon C., 345 Strawderman, Robert L., 341, Dobrow, R., 1018 Lund, Robert B., 1019, 1375 342, 346, 349, 1019 Down, D., 346 Ogden, R. T., 1007 Strawderman, William E., 329, 348 Dykstra, Richard L., 1017 Padgett, William J., 1374 Street. Deborah J., 677 Ernst, Michael D., 333 Paruolo, Paolo, 683 Stufken, John, 679 Friihwirth-Schnatter, Sylvia, 1373 Pratelli, M., 688 Sungur, Engin A., 334 Gadbury, Gary, 1013 Presnell, Brett, 333 Swanson, Norman R., 687 Garbers, Hermann, 1373 Rao, P. V., 681 Taksar, Michael, 343 Garcia, Rene, 688 Rathbun, Stephen L., 1010 Taylor, Robert L., 348 Harter, H. Leon, 331 Reimers, Hans Eggert, 686 Therneau, Terry M., 676 Hazeghi, Kasra, 343 Robert, Christian P., 337 Tiwari, Ram, 1371 Helmers, R., 1017 Rocke, D. M., 347 Wegman, Edward J., 1009 Hesterberg, Tim, 1376 Rolski, Tomasz, 1379 Wells, Martin T., 1008 Holmes, Susan P., 328, 688 Ronchetti, Elvezio, 1008 Zwick, Rebecca, 1012

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