The American Statistician 1999: Vol 53 Index

3 Pages·1999·0.95 MB·English

The American Statistician
CONTENTS OF VOLUME 53
(Numbers 1-4)
Special Section—Undergraduate Statistics: What Should Change? ... | I Ws I os crest dkD ia rcs aca niertie bree ee wens 147
I NNO so sices cadre oe cuagas maser elsenee 29, 89, 177, 298 282
SI sow cotisntchansipasatbeaendtbduess 43, 99, 203, 307 173, 295, 393
Teacher’s Corner 267, 370 Editor’s Report 175, 297
Statistical Computing and Graphics................ 73, 140, 276, 382 SN 5508 gcse ala ccea ls nid rare io ace aiomalee meme 394
Reviews of Books and Teaching Materials 85, 170, 291, 388 NNN UN i 5 So nay. ciemraw eines re bene Geabiee baee een 396
INDEX TO VOLUME 53 (1999)
ARTICLES (BY AUTHOR)
Amaratunga, Dhammika, “Searching for the Right Sample Size,” 52 Goutis, Constantino, and Casella, George, “Explaining the Saddlepoint Ap-
Anderson, Jon E., and Sungur, Engin A., “Community Service Statistics proximation,” 216
Projects,” 132 Groeneveld, Richard A., Discussion of Higgins, James J., and Hogg, Robert
Au, Chi, and Tam, Judy, “Transforming Variables Using the Dirac Gener- V., 23
alized Function,” 270 Hahn, Gerald J., Hill, William J., Hoerl, Roger W., and Zinkgraf, Stephen
Barr, Donald R., and Sherrill, E. Todd, “Mean and Variance of Truncated A., “The Impact of Six Sigma Improvement—A Glimpse Into the Future
Normal Distributions,” 357 of Statistics,” 208
Haslett, John (see Hayes, Kevin)
Bolton, Richard J., and Krzanowski, Wojtek J., “A Characterization of
Hayes, Kevin, and Haslett, John, “Simplifying General Least Squares,”
Principal Components for Projection Pursuit,” 108
376
Boronico, Jess S., “Multi-Tiered Playoffs and Their Impact on Professional
Hengartner, Nicolas W., “A Note on Maximum Likelihood Estimation,”
Baseball,” 56
123
Bryce, G. Rex, Discussion of Higgins, James J., and Hogg, Robert V., 21
Higgins, James J., “Nonmathematical Statistics: A New Direction for the
Casella, George (see Goutis, Constantino)
Undergraduate Discipline,” 1; Reply, 26
Chambers, John, “Computing With Data: Concepts and Challenges,” 73
Hill, William J. (see Hahn, Gerald J.)
Chatterjee, Sangit, and Yilmaz, Mustafa R., “The NBA as an Evolving
Hoerl, Roger W. (see Hahn, Gerald J.)
Multivariate System,” 257 Hogg, Robert V., “Let’s Use CQI in Our Statistics Programs,” 7; Reply 27
Chen, Xun (see Levin, Bruce) Horton, Nicholas J., and Lipsitz, Stuart R., “Review of Software to Fit
Choudhury, Askar H., Hubata, Robert, and St. Louis, Robert D., “Under- Generalized Estimating Equation Regression Models,” 160
standing Time-Series Regression Estimators,” 342 Hubata, Robert (see Choudhury, Askar H.)
Chun, Young H., “On the Information Economics Approach to the Gen- Hui, Siu L. (see Zhou, Xiao-Hua)
eralized Game Show Problem,” 43 Huzurbazar, S., “Practical Saddlepoint Approximations,” 225
Clemons, Traci, and Pagano, Marcello, “Are Babies Normal?” 298 Jones, M. C., “Distributional Relationships Arising From Simple Trigono-
Cobb, George W., Discussion of Higgins, James J., and Hogg, Robert V., metric Formulas,” 99
16 Jong, Jyh-Cherng, and Kotz, Samuel, “On a Relation Between Principal
Cohen, Ayala (see Shmueli, Galit) Components and Regression Analysis,” 349
Cook, R. Dennis, and Weisberg, Sanford, “Graphs in Statistical Analysis: Kenward, Michael G. (see Molenberghs, Geert)
Is the Medium the Message?” 29 Kimeldorf, George (see Gautam, Shiva)
Czitrom, Veronica, “One-Factor-at-a-Time Versus Designed Experiments,” Kotz, Samuel (see Jong, Jyh-Cherng)
126 Krzanowski, Wojtek J. (see Bolton, Richard J.)
Dodge, Yadolah, and Rousson, Valentin, “The Complications of the Fourth Kuczmarski, James G., and Rosenbaum, Paul R., “Quantile Plots, Partial
Orders, and Financial Risk,” 239
Central Moment,” 267
Kupper, Lawrence L. (see Lyles, Robert H.)
Donahue, Rafe M. J., “A Note on Information Seldom Reported Via the
Landwehr, James M., Editor’s Report for 1998, 175
P Value,” 303
Landwehr, James M., Editor’s Report, 297
Driscoll, Michael F., “An Improved Result Relating Quadratic Forms and
Langenberg, Patricia (see Wilson, P. David)
Chi-Square Distributions,” 273
Lavine, Michael, and Schervish, Mark J., “Bayes Factors: What They Are
DuMouchel, William, “Bayesian Data Mining in Large Frequency Tables,
and What They Are Not,” 119
With an Application to the FDA Spontaneous Reporting System.” 177;
Levin, Bruce, and Chen, Xun, “Is the One-Half Continuity Correction
Reply 201
Used Once or Twice to Derive a Well-Known Approximate Sample Size
Dunn, Peter K., “Three Tools for Interactively Visualizing Some Distribu- Formula to Compare Two Independent Binomial Distributions,” 62
tion Theory Concepts,” 137 Lipsitz, Stuart R. (see Horton, Nicholas J.)
Gautam, Shiva, and Kimeidorf, George, “Some Results on the Maximal Lipsitz, Stuart R. (see Molenberghs, Geert)
Correlation in 2 x k Contingency Tables,” 336 Louis, Thomas A., and Shen, Wei, Discussion of DuMouchel, William,
Goetghebeur, Els. J. T. (see Molenberghs, Geert) 196
396 The American Statistician, November 1999, Vol. 53, No. 4 © 1999 American Statistical Association
The American Statistician
CONTENTS OF VOLUME 53
(Numbers 1-4)
Special Section—Undergraduate Statistics: What Should Change? ... | I Ws I os crest dkD ia rcs aca niertie bree ee wens 147
I NNO so sices cadre oe cuagas maser elsenee 29, 89, 177, 298 282
SI sow cotisntchansipasatbeaendtbduess 43, 99, 203, 307 173, 295, 393
Teacher’s Corner 267, 370 Editor’s Report 175, 297
Statistical Computing and Graphics................ 73, 140, 276, 382 SN 5508 gcse ala ccea ls nid rare io ace aiomalee meme 394
Reviews of Books and Teaching Materials 85, 170, 291, 388 NNN UN i 5 So nay. ciemraw eines re bene Geabiee baee een 396
INDEX TO VOLUME 53 (1999)
ARTICLES (BY AUTHOR)
Amaratunga, Dhammika, “Searching for the Right Sample Size,” 52 Goutis, Constantino, and Casella, George, “Explaining the Saddlepoint Ap-
Anderson, Jon E., and Sungur, Engin A., “Community Service Statistics proximation,” 216
Projects,” 132 Groeneveld, Richard A., Discussion of Higgins, James J., and Hogg, Robert
Au, Chi, and Tam, Judy, “Transforming Variables Using the Dirac Gener- V., 23
alized Function,” 270 Hahn, Gerald J., Hill, William J., Hoerl, Roger W., and Zinkgraf, Stephen
Barr, Donald R., and Sherrill, E. Todd, “Mean and Variance of Truncated A., “The Impact of Six Sigma Improvement—A Glimpse Into the Future
Normal Distributions,” 357 of Statistics,” 208
Haslett, John (see Hayes, Kevin)
Bolton, Richard J., and Krzanowski, Wojtek J., “A Characterization of
Hayes, Kevin, and Haslett, John, “Simplifying General Least Squares,”
Principal Components for Projection Pursuit,” 108
376
Boronico, Jess S., “Multi-Tiered Playoffs and Their Impact on Professional
Hengartner, Nicolas W., “A Note on Maximum Likelihood Estimation,”
Baseball,” 56
123
Bryce, G. Rex, Discussion of Higgins, James J., and Hogg, Robert V., 21
Higgins, James J., “Nonmathematical Statistics: A New Direction for the
Casella, George (see Goutis, Constantino)
Undergraduate Discipline,” 1; Reply, 26
Chambers, John, “Computing With Data: Concepts and Challenges,” 73
Hill, William J. (see Hahn, Gerald J.)
Chatterjee, Sangit, and Yilmaz, Mustafa R., “The NBA as an Evolving
Hoerl, Roger W. (see Hahn, Gerald J.)
Multivariate System,” 257 Hogg, Robert V., “Let’s Use CQI in Our Statistics Programs,” 7; Reply 27
Chen, Xun (see Levin, Bruce) Horton, Nicholas J., and Lipsitz, Stuart R., “Review of Software to Fit
Choudhury, Askar H., Hubata, Robert, and St. Louis, Robert D., “Under- Generalized Estimating Equation Regression Models,” 160
standing Time-Series Regression Estimators,” 342 Hubata, Robert (see Choudhury, Askar H.)
Chun, Young H., “On the Information Economics Approach to the Gen- Hui, Siu L. (see Zhou, Xiao-Hua)
eralized Game Show Problem,” 43 Huzurbazar, S., “Practical Saddlepoint Approximations,” 225
Clemons, Traci, and Pagano, Marcello, “Are Babies Normal?” 298 Jones, M. C., “Distributional Relationships Arising From Simple Trigono-
Cobb, George W., Discussion of Higgins, James J., and Hogg, Robert V., metric Formulas,” 99
16 Jong, Jyh-Cherng, and Kotz, Samuel, “On a Relation Between Principal
Cohen, Ayala (see Shmueli, Galit) Components and Regression Analysis,” 349
Cook, R. Dennis, and Weisberg, Sanford, “Graphs in Statistical Analysis: Kenward, Michael G. (see Molenberghs, Geert)
Is the Medium the Message?” 29 Kimeldorf, George (see Gautam, Shiva)
Czitrom, Veronica, “One-Factor-at-a-Time Versus Designed Experiments,” Kotz, Samuel (see Jong, Jyh-Cherng)
126 Krzanowski, Wojtek J. (see Bolton, Richard J.)
Dodge, Yadolah, and Rousson, Valentin, “The Complications of the Fourth Kuczmarski, James G., and Rosenbaum, Paul R., “Quantile Plots, Partial
Orders, and Financial Risk,” 239
Central Moment,” 267
Kupper, Lawrence L. (see Lyles, Robert H.)
Donahue, Rafe M. J., “A Note on Information Seldom Reported Via the
Landwehr, James M., Editor’s Report for 1998, 175
P Value,” 303
Landwehr, James M., Editor’s Report, 297
Driscoll, Michael F., “An Improved Result Relating Quadratic Forms and
Langenberg, Patricia (see Wilson, P. David)
Chi-Square Distributions,” 273
Lavine, Michael, and Schervish, Mark J., “Bayes Factors: What They Are
DuMouchel, William, “Bayesian Data Mining in Large Frequency Tables,
and What They Are Not,” 119
With an Application to the FDA Spontaneous Reporting System.” 177;
Levin, Bruce, and Chen, Xun, “Is the One-Half Continuity Correction
Reply 201
Used Once or Twice to Derive a Well-Known Approximate Sample Size
Dunn, Peter K., “Three Tools for Interactively Visualizing Some Distribu- Formula to Compare Two Independent Binomial Distributions,” 62
tion Theory Concepts,” 137 Lipsitz, Stuart R. (see Horton, Nicholas J.)
Gautam, Shiva, and Kimeidorf, George, “Some Results on the Maximal Lipsitz, Stuart R. (see Molenberghs, Geert)
Correlation in 2 x k Contingency Tables,” 336 Louis, Thomas A., and Shen, Wei, Discussion of DuMouchel, William,
Goetghebeur, Els. J. T. (see Molenberghs, Geert) 196
396 The American Statistician, November 1999, Vol. 53, No. 4 © 1999 American Statistical Association
Lyles, Robert H., and Kupper, Lawrence L., “A Note on Confidence Inter- Sackrowitz, Harold, and Samuel-Cahn, Ester, “p Values as Random
val Estimation in Measurement Error Adjustment,” 247 Variables—Expected p Values,” 326
Madigan, David, Discussion of DuMouchel, William, 198 Salzberg, Alan J., “Removable Selection Bias in Quasi-Experiments,” 103
Matthews, J. N. S., “Effect of Prior Specification on Bayesian Design for Samuel-Cahn, Ester (see Sackrowitz, Harold)
Two-Sample Comparison of a Binary Outcome,” 254 Scheaffer, Richard (see Roberts, Rosemary)
McCullough, B. D., “Assessing the Reliability of Statistical Software: Part Schervish, Mark J. (see Lavine, Michael)
II,” 149 Schwertman, Neil C. (see Smith, Tyler)
McDonald, Gary C., “Shaping Statistics for Success in the 21st Century: Shen, Wei (see Louis, Thomas A.)
The Needs of Industry,” 203 Sherrill, E. Todd (see Barr, Donald R.)
McLeod, A. Ian, “Necessary and Sufficient Condition for Nonsingular Shmueli, Galit, and Cohen, Ayala, “Analysis and Display of Hierarchical
Fisher Information Matrix in ARMA and Fractional ARIMA Models,” Life-Time Data,” 140
71 Smith, Tyler, and Schwertman, Neil C., “Can the NCAA Basketball Tour-
Mengersen, Kerrie (see Tweedie, Richard) nament Seeding be Used to Predict Margin of Victory?” 94
Speed, T. P. (see Nolan, D.)
Molenberghs, Geert, Goetghebeur, Els. J. T., Lipsitz, Stuart R., and
St. Louis, Robert D. (see Choudhury, Askar H.)
Kenward, Michael G., “Nonrandom Missingness in Categorical Data:
Stigler, Stephen M., “The Foundations of Statistics at Stanford,” 263
Strengths and Limitations,” 110
Sungur, Engin A. (see Anderson, Jon E.)
Newton, Joseph H., Discussion of Higgins, James J., and Hogg, Robert V.,
Szarfman, Ana (see O’Neill, Robert T.)
15
Tam, Judy (see Au, Chi)
Nolan, D., and Speed, T. P., “Teaching Statistics Theory Through Appli-
Tukey, John W. (see Rousseeuw, Peter J.)
cations,” 370
Tweedie, Richard, and Mengersen, Kerrie, “Calculating Accuracy Rates
Okolo, Abraham, “The Nigerian Census: Problems and Prospects,” 321
From Multiple Assessors With Limited Information,” 233
O’Neill, Robert T., and Szarfman, Ana, Discussion of DuMouchel,
Verrill, Steve, “When Good Confidence Intervals Go Bad: Predictor Sort
William, 190
Experiments and ANOVA,” 38
Pagano, Marcello (see Clemons, Traci)
Voss, Daniel T., “Resolving the Mixed Model Controversy,” 352
Palacios, José Luis, “The Ruin Problem via Electric Networks,” 67 Watkins, Ann (see Roberts, Rosemary)
Perkins, Anthony J. (see Zhou, Xiao-Hua) Weisberg, Sanford (see Cook, R. Dennis)
Polansky, Alan M., “Upper Bounds on the True Coverage of Bootstrap Wiens, Brian L., “When Log-Normal and Gamma Models Give Different
Percentile Type Confidence Intervals,” 362 Results: A Case Study,” 89
Roberts, Rosemary, Scheaffer, Richard, and Watkins, Ann, “Advanced Wilkinson, Leland, “Dot Plots,” 276
Placement Statistics—Past, Present, and Future,” 307 Wilson, P. David, and Langenberg, Patricia, “Usual and Shortest Confi-
Rosenbaum, Paul R. (see Kuczmarski, James G.) dence Intervals on Odds Ratios From Logistic Regression,” 332
Rousseeuw, Peter J., Ruts, Ida, and Tukey, John W., “The Bagplot: A Bi- Yilmaz, Mustafa R. (see Chatterjee, Sangit)
variate Boxplot,” 382 Zhou, Xiao-Hua, Perkins, Anthony J., and Hui, Siu L., “Comparisons of
Rousson, Valentin (see Dodge, Yadolah) Software Packages for Generalized Linear Multilevel Models,” 282
Ruts, Ida (see Rousseeuw, Peter J.) Zinkgraf, Stephen A. (see Hahn, Gerald J.)
SOFTWARE REVIEWED (BY PRODUCT NAME)
HLM, Zhou, Xiao-Hua, Perkins, Anthony J., and Hui, Siu L., 282 S-Plus, Horton, Nicholas J, and Lipsitz, Stuart R., 160
MLn, Zhou, Xiao-Hua, Perkins, Anthony J., and Hui, Siu L., 282 Stata, Horton, Nicholas J, and Lipsitz, Stuart R., 160
MLwiN, Zhou, Xiao-Hua, Perkins, Anthony J., and Hui, Siu L., 282
SUDAAN, Horton, Nicholas J, and Lipsitz, Stuart R., 160
SAS Proc Mixed, Zhou, Xiao-Hua, Perkins, Anthony J., and Hui, Siu L.,
282 VARCL, Zhou, Xiao-Hua, Perkins, Anthony J., and Hui, Siu L., 282
SAS, Horton, Nicholas J, and Lipsitz, Stuart R., 160 Waterloo Maple, Inc., Maple V© Student Version: Release 5
BOOKS REVIEWED (BY AUTHOR OR EDITOR)
Berinstein, Paula, Finding Statistics Online: How to Locate the Elusive Kleinbaum, David G., Kupper, Lawrence L., Muller, Keith E., and Nizam,
Numbers You Need, 293 Azhar, Applied Regression Analysis and Multivariate Methods (3rd ed.),
Berk, Kenneth N., and Carey, Patrick, Data Analysis with Microsoft Excel, 292
388
Moore, David S., Statistics: Concepts and Controversies (4th ed.), 170
Bernstein, Peter L., Against the Gods: The Remarkable Story of Risk, \71\
Moore, David S., The Active Practice of Statisitics, 85
Draper, Norman R., and Smith, Harry, Applied Regression Analysis (3rd
ed.), 170 Prvan, Tania, and Petocz, Peter, Statistical Laboratory Exercises Using
Hamilton, Lawrence C., Statistics with Stata 5, 392 Excel: A Guide to Understanding Data, 388
Harnett, Donald L., and Horrell, James E., Data, Statistics, and Decision Rawlings, John O., Pantula, Sastry G., and Dickey, David A., Applied Re-
Models with Excel, 389 gression Analysis: A Research Tool (2nd ed.), 170
Holcomb, Zealure C., Interpreting Basic Statistics: A Guide and Workbook Rossman, Allan J., and Chance, Beth L., Workshop Statistics: Discovery
Based on Excerpts from Journal Articles, 294 with Data and Minitab, 388
Holland, Bart K., Probability Without Equations: Concepts for Clinicians,
Roussas, George C., A Course in Mathematical Statistics (2nd ed.), 87
171
Smith, Gary, Introduction to Statistical Reasoning, 86
Johnson, Richard A., and Tsui, Kam-Wah, Statistical Reasoning and Meth-
ods, 291 Velleman, Paul, ActivStats 2.0, 85
Kitchens, Larry J., Exploring Statistics: A Modern Introduction to Data Venables, William N., Modern Applied Statistics (2nd ed.), 86
Analysis and Inference, 291 Vining, G. Geoffrey, Statistical Methods for Engineers, 292
The American Statistician, November 1999, Vol. 53, No. 4 397