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The American Statistician CONTENTS OF VOLUME 57 (Numbers 1-4) I nus cconanballnnsemeiees 1, 97, 155, 299 RIN oio s tiacsaciscectpauom onececncinntaawiacawboiannnieisniobenat e MS, 227, S22 IO isis cccccsnkscesceiedckveseieieanestinmninn ay Aa he ee I AI os faesa cesiansdbhnitinshasnceineneninaateteivonmwnicisnstensiacinetnns 153 II icie isn tnrscaseniennceracdisenderghencnciecinaeiniran 37, 139, 258 Statistical Computing and Graphics ..............:..cceeseeeeeeeeeeeeeees 193, 268 Reviews of Books and Teaching Materials .............. 66, 142, 218, 316 Statistical Computing Software Reviews ................ssssessessssseeesees 200 Re NN RII sc cierictscaccscaraescencvncescesdeninnseddesnnes 71, 147, 221, 319 ORRIN INES gos ssciseenesesictaiasecnssseecesanasnicatcessostavaausceseansecseleee SUCHE TOCUION. DUMTISICEE LMOTRCY 2 .uicceccsnsseeececsseesasesvocenscenesoossess 73 SNE UNI IF sas an evs carecsnnerienachsn Ceaaeiodeessssereeesheoieniecnnoen e RN IN oiradeccesesa credar epecensinaceisniiavasieatiiesmrureecaniinanels 94, 189, 253 INDEX TO VOLUME 57 (2003) ARTICLES (BY AUTHOR) Albert, James H., “College Students’ Conceptions of Probability,” 37; Selin, Teebagy, Nicholas, and Topi, Heikki, “A Review of Software “A New Column in The American Statistician,’ 94; Editor’s Report, Packages for Data Mining,” 290 153 Hazelton, Martin L., “A Graphical Tool for Assessing Normality,” 285 Austin, Peter C., and Brunner, Lawrence J., “Type | Error Inflation in Hedayat, A. S., and Sinha, Bikas K., “On a Sampling Design for Esti- the Presence of a Ceiling Effect,” 97 mation of Negligible Accident Rates Involving Electronic Toys,” Barrowman, Nicholas J., and Myers, Ransom A., “Raindrop Plots: A 249 New Way to Display Collections of Likelihoods and Distributions,” Hilbe, Joseph M., Section Editor’s Notes, 200, 289; and “A Review of 268 Current SPSS Products: SPSS 12, SigmaPlot 8.02, SigmaStat 3.0, Berk, Kenneth N., Discussion of Hubbard, Raymond, and Bayarri, M. Part 1, 310 J., 178 Hitchcock, David B., “A History of the Metropolis—Hastings Algorithm,” Berman, Nancy G. (see Parker, Robert A.) 254 Blume, Jeffrey D., and Royall, Richard M., “Illustrating the Law of Horton, Nicholas J., Lipsitz, Stuart R., and Parzen, Michael, “A Poten- Large Numbers (and Confidence Intervals),” 51 tial for Bias When Rounding in Multiple Imputation,” 229 Boies, Jean-Claude (see Genest, Christian) Hubbard, Raymond, and Bayarri, M. J., “Confusion Over Measures of Boland, Philip J., “Promoting Statistical Thinking Among Secondary Evidence (p’s) Versus Errors (@’s) in Classical Statistical Testing,” School Students in the National Context,” 85 171; Rejoinder, 181 Bonett, Douglas G., and Seier, Edith, “Confidence Intervals for Mean Jergovic, Diana (see Wolter, Kirk) Absolute Deviations,” 233 Jeske, Daniel R., and Sampath, Ashwin, “A Real Example That Illus- Brunner, Lawrence J. (see Austin, Peter C.) trates Interesting Properties of Bootstrap Bias Correction,” 62 Buechner, Jennifer M. (see Li, Xiuhong) Kwan, C. W. (see Fong, Daniel Y. T.) Callaert, Herman, “Comparing Statistical Software Packages: The Case Lam, K. F. (see Fong, Daniel Y. T.) of the Logrank Test in StatXact,” 214 Lam, Karen S. L. (see Fong, Daniel Y. T.) Carlton, Matthew A., Discussion of Hubbard, Raymond, and Bayarri, Lawson, John, “One-Step Screening and Process Optimization Experi- M. J., 179 ments,” 15 Christensen, Ronald, “Significantly Insignificant F Tests,” 27 Li, Xiuhong, Buechner, Jennifer, M., Tarwater, Patrick M., and Mufioz, Dallal, Gerard E. (see Wachsmuth, Amanda) Alvaro, “A Diamond-Shaped Equiponderant Graphical Display of Deichmann, Joel (see Haughton, Dominique) the Effects of Two Categorical Predictors on Continuous Outcomes,” Dunn, Peter K., “What Happens When a | ~ | x r Die is Rolled,” 258 193 Eshghi, Abdolreza (see Haughton, Dominique) Liao, J. G., and McGee, Dan, “Adjusted Coefficients of Determination Fleischman, Anat (see Murad, Havi) for Logistic Regression,” 161 Fong, Daniel Y. T., Kwan, C. W., Lam, K. F., and Lam, Karen S. L., Lipsitz, Stuart R. (see Horton, Nicholas J.) “Use of the Sign Test for the Median in the Presence of Ties,” 237 Lynn, Henry S., “Suppression and Confounding in Action,” 58 Freedman, Laurence S. (see Murad, Havi) McGee, Dan (see Liao, J. G.) Funk, Gerald M. (see O’Brien, Timothy E.) Mease, David, “A Penalized Maximum Likelihood Approach for the Gal, Iddo, “Teaching for Statistical Literacy and Services of Statistics Ranking of College Football Teams Independent of Victory Mar- Agencies,” 80 gins,” 241 Genest, Christian, and Boies, Jean-Claude, “Detecting Dependence With Moore, Whitney (see Wolter, Kirk) Kendall Plots,” 275 Morris, Max D. (see Vardeman, Stephen B.) Geyer, Orna (see Murad, Havi) Munoz, Alvaro (see Li, Xiuhong) Hand, David J., and Vinciotti, Veronica, “Local Versus Global Models Murad, Havi, Fleischman, Anat, Sadetzki, Siegal, Geyer, Orna, and for Classification Problems: Fitting Models Where it Matters,” 124 Freedman, Laurence S., “Small Samples and Ordered Lugistic Re- Haughton, Dominique, Deichmann, Joel, Eshghi, Abdolreza, Sayek, gression: Does it Help to Collapse Categories of Outcome?” 155 324 The American Statistician, November 2003, Vol. 57, No. 4 © 2003 American Statistical Association DOI: 10.1198/0003 130032503 The American Statistician CONTENTS OF VOLUME 57 (Numbers 1-4) I nus cconanballnnsemeiees 1, 97, 155, 299 RIN oio s tiacsaciscectpauom onececncinntaawiacawboiannnieisniobenat e MS, 227, S22 IO isis cccccsnkscesceiedckveseieieanestinmninn ay Aa he ee I AI os faesa cesiansdbhnitinshasnceineneninaateteivonmwnicisnstensiacinetnns 153 II icie isn tnrscaseniennceracdisenderghencnciecinaeiniran 37, 139, 258 Statistical Computing and Graphics ..............:..cceeseeeeeeeeeeeeeees 193, 268 Reviews of Books and Teaching Materials .............. 66, 142, 218, 316 Statistical Computing Software Reviews ................ssssessessssseeesees 200 Re NN RII sc cierictscaccscaraescencvncescesdeninnseddesnnes 71, 147, 221, 319 ORRIN INES gos ssciseenesesictaiasecnssseecesanasnicatcessostavaausceseansecseleee SUCHE TOCUION. DUMTISICEE LMOTRCY 2 .uicceccsnsseeececsseesasesvocenscenesoossess 73 SNE UNI IF sas an evs carecsnnerienachsn Ceaaeiodeessssereeesheoieniecnnoen e RN IN oiradeccesesa credar epecensinaceisniiavasieatiiesmrureecaniinanels 94, 189, 253 INDEX TO VOLUME 57 (2003) ARTICLES (BY AUTHOR) Albert, James H., “College Students’ Conceptions of Probability,” 37; Selin, Teebagy, Nicholas, and Topi, Heikki, “A Review of Software “A New Column in The American Statistician,’ 94; Editor’s Report, Packages for Data Mining,” 290 153 Hazelton, Martin L., “A Graphical Tool for Assessing Normality,” 285 Austin, Peter C., and Brunner, Lawrence J., “Type | Error Inflation in Hedayat, A. S., and Sinha, Bikas K., “On a Sampling Design for Esti- the Presence of a Ceiling Effect,” 97 mation of Negligible Accident Rates Involving Electronic Toys,” Barrowman, Nicholas J., and Myers, Ransom A., “Raindrop Plots: A 249 New Way to Display Collections of Likelihoods and Distributions,” Hilbe, Joseph M., Section Editor’s Notes, 200, 289; and “A Review of 268 Current SPSS Products: SPSS 12, SigmaPlot 8.02, SigmaStat 3.0, Berk, Kenneth N., Discussion of Hubbard, Raymond, and Bayarri, M. Part 1, 310 J., 178 Hitchcock, David B., “A History of the Metropolis—Hastings Algorithm,” Berman, Nancy G. (see Parker, Robert A.) 254 Blume, Jeffrey D., and Royall, Richard M., “Illustrating the Law of Horton, Nicholas J., Lipsitz, Stuart R., and Parzen, Michael, “A Poten- Large Numbers (and Confidence Intervals),” 51 tial for Bias When Rounding in Multiple Imputation,” 229 Boies, Jean-Claude (see Genest, Christian) Hubbard, Raymond, and Bayarri, M. J., “Confusion Over Measures of Boland, Philip J., “Promoting Statistical Thinking Among Secondary Evidence (p’s) Versus Errors (@’s) in Classical Statistical Testing,” School Students in the National Context,” 85 171; Rejoinder, 181 Bonett, Douglas G., and Seier, Edith, “Confidence Intervals for Mean Jergovic, Diana (see Wolter, Kirk) Absolute Deviations,” 233 Jeske, Daniel R., and Sampath, Ashwin, “A Real Example That Illus- Brunner, Lawrence J. (see Austin, Peter C.) trates Interesting Properties of Bootstrap Bias Correction,” 62 Buechner, Jennifer M. (see Li, Xiuhong) Kwan, C. W. (see Fong, Daniel Y. T.) Callaert, Herman, “Comparing Statistical Software Packages: The Case Lam, K. F. (see Fong, Daniel Y. T.) of the Logrank Test in StatXact,” 214 Lam, Karen S. L. (see Fong, Daniel Y. T.) Carlton, Matthew A., Discussion of Hubbard, Raymond, and Bayarri, Lawson, John, “One-Step Screening and Process Optimization Experi- M. J., 179 ments,” 15 Christensen, Ronald, “Significantly Insignificant F Tests,” 27 Li, Xiuhong, Buechner, Jennifer, M., Tarwater, Patrick M., and Mufioz, Dallal, Gerard E. (see Wachsmuth, Amanda) Alvaro, “A Diamond-Shaped Equiponderant Graphical Display of Deichmann, Joel (see Haughton, Dominique) the Effects of Two Categorical Predictors on Continuous Outcomes,” Dunn, Peter K., “What Happens When a | ~ | x r Die is Rolled,” 258 193 Eshghi, Abdolreza (see Haughton, Dominique) Liao, J. G., and McGee, Dan, “Adjusted Coefficients of Determination Fleischman, Anat (see Murad, Havi) for Logistic Regression,” 161 Fong, Daniel Y. T., Kwan, C. W., Lam, K. F., and Lam, Karen S. L., Lipsitz, Stuart R. (see Horton, Nicholas J.) “Use of the Sign Test for the Median in the Presence of Ties,” 237 Lynn, Henry S., “Suppression and Confounding in Action,” 58 Freedman, Laurence S. (see Murad, Havi) McGee, Dan (see Liao, J. G.) Funk, Gerald M. (see O’Brien, Timothy E.) Mease, David, “A Penalized Maximum Likelihood Approach for the Gal, Iddo, “Teaching for Statistical Literacy and Services of Statistics Ranking of College Football Teams Independent of Victory Mar- Agencies,” 80 gins,” 241 Genest, Christian, and Boies, Jean-Claude, “Detecting Dependence With Moore, Whitney (see Wolter, Kirk) Kendall Plots,” 275 Morris, Max D. (see Vardeman, Stephen B.) Geyer, Orna (see Murad, Havi) Munoz, Alvaro (see Li, Xiuhong) Hand, David J., and Vinciotti, Veronica, “Local Versus Global Models Murad, Havi, Fleischman, Anat, Sadetzki, Siegal, Geyer, Orna, and for Classification Problems: Fitting Models Where it Matters,” 124 Freedman, Laurence S., “Small Samples and Ordered Lugistic Re- Haughton, Dominique, Deichmann, Joel, Eshghi, Abdolreza, Sayek, gression: Does it Help to Collapse Categories of Outcome?” 155 324 The American Statistician, November 2003, Vol. 57, No. 4 © 2003 American Statistical Association DOI: 10.1198/0003 130032503 Murphy, Joe (see Wolter, Kirk) Spiegelman, Clifford, and Park, Eun Sug, “Nearly Nonparametric Mul- Myers, Ransom A. (see Barrowman, Nicholas J.) tivariate Density Estimates That Incorporate Marginal Parametric Nelson, Paul I. (see Xie, Rongrong) Density Information,” 183 O’Brien, Timothy E., and Funk, Gerald M., “A Gentle Introduction to Symanzik, Jiirgen, and Vukasinovic, Natascha, “Teaching Experiences Optimal Design for Regression Models,” 265 With a Course on ‘Web-Based Statistics’, ” 46 O*Muircheartaigh, Colm (see Wolter, Kirk) Tam, Michael (see Rinott, Yosef) Oster, Robert A., “An Examination of Statistical Software Packages for Tarwater, Patrick M. (see Li, Xiuhong) Categorical Data Analysis Using Exact Methods—Part II,” 201 Teebagy, Nicholas (see Haughton, Dominique) Park, Eun Sug (see Spiegelman, Clifford) Theoharakis, Vasilis, and Skordia, Mary, “How Do Statisticians Per- Parker, Robert A., and Berman, Nancy G., “Sample Size: More Than ceive Statistics Journals?” 115 Calculations,” 166 Topi, Heikki (see Haughton, Dominique) Parzen, Michael (see Horton, Nicholas J.) Utts, Jessica, “Special Section on Statistical Literacy: How You Can Rinott, Yosef, and Tam, Michael, “Monotone Regrouping, Regression, Help,” 73; “What Educated Citizens Should Know About Statistics and Simpson’s Paradox,” 139 and Probability,” 74 Rosenbaum, Paul R., “Exact Confidence Intervals for Nonconstant Ef- Vardeman, Stephen B., and Morris, Max D., “Statistics and Ethics: Some fects by Inverting the Signed Rank Test,” 132 Advice for Young Statisticians,” 2] Royall, Richard M. (see Blume, Jeffrey D.) Vinciotti, Veronica (see Hand, David J.) Sadetzki, Siegal (see Murad, Havi) Vukasinovic, Natascha (see Symanzik, Jiirgen) Sampath, Ashwin (see Jeske, Daniel R.) Wachsmuth, Amanda, Wilkinson, Leland, and Dallal, Gerard E., Sayek, Selin (see Haughton, Dominique) “Galton’s Bend: A Previously Undiscovered Nonlinearity in Galton’s Scheuren, Fritz, “Looking Back So We Can Look Forward.” 94; Intro- Family Stature Regression Data,” 190 duction, 189; 253 Wilkinson, Leland (see Wachsmuth, Amanda) Seier, Edith (see Bonett, Douglas G.) Wolter, Kirk, Jergovic, Diana, Moore, Whitney, Murphy, Joe, and Shoemaker, Lewis H., “Fixing the F Test for Equal Variances,” 105 O’Muircheartaigh, Colm, “Reliability of the Uncertified Ballots in Sinha, Bikas K. (see Hedayat, A. S.) the 2000 Presidential Election in Florida,” | Skordia, Mary (see Theoharakis, Vasilis) Xie, Rongrong, and Nelson, Paul I., “Separation Among Distributions Sowey, Eric R., “The Getting of Wisdom: Educating Statisticians to Related by Linear Regression,” 33 Enhance Their Clients’ Numeracy,” 89 SOFTWARE REVIEWED (BY PRODUCT NAME) Clementine, Haughton, Dominique, Deichmann, Joel, Eshghi, Abdolreza, Sayek, Selin, Teebagy, Nicholas, and Topi, Heikki, 290 Abdolreza, Sayek, Selin, Teebagy, Nicholas, and Topi, Heikki, 290 SigmaPlot 8.02, Hilbe, Joseph M., 310 Ghostminer, Haughton, Dominique, Deichmann, Joel, Eshghi, SigmaStat 3.0, Hilbe, Joseph M., 310 Abdolreza, Sayek, Selin, Teebagy, Nicholas, and Topi, Heikki, 290 SPSS 12, Hilbe, Joseph M., 310 Quadstone, Haughton, Dominique, Deichmann, Joel, Eshghi, Abdolreza, StatXact, Callaert, Herman, 214 Sayek, Selin, Teebagy, Nicholas, and Topi, Heikki, 290 Testimate 6, Oster, Robert A., 201 SAS 8.2, Oster, Robert A., 201 XLMiner, Haughton, Dominique, Deichmann, Joel, Eshghi, Abdolreza, SAS Enterprise Miner, Haughton, Dominique, Deichmann, Joel, Eshghi, Sayek, Selin, Teebagy, Nicholas, and Topi, Heikki, 290 BOOKS REVIEWED (BY AUTHOR OR EDITOR) Altman, Douglas, Machin, David, Bryant, Trevor, and Gardner, Mar- Holland, Bart K., What are the Chances? Voodoo Deaths, Office Gos- tin, Statistics with Confidence (2nd ed.), 66 sip, and Other Adventures in Probability, 218 Ayyub, Bilal M., and Mccuen, Richard H., Probability, Statistics, and Johnson, Robert, and Kuby, Patricia L., Just the Essentials of Elemen- Reliability for Engineers and Scientists, 318 tary Statistics (3rd ed.), 219 Brace, Nicola, Kemp, Richard, and Snelgar, Rosemary, SPSS for Psy- Kitchens, Larry J., Basic Statistics and Data Analysis (with InfoTrac chologists: A Guide to Data Analysis using SPSS for Windows (2nd and CD-ROM) (\st ed.), 219 ed., rev. and expanded), 318 Lane, David, Hyperstat (2nd ed), 316 Caplow, Theodore, Hicks, Louis, and Wattenberg, Ben J., The First Le, Chap T., /ntroductory Biostatistics, 318 Measured Century, 143 Mason, Robert L., Gunst, Richard F., and Hess, James L., Statistical Everitt, Brian S., A Handbook of Statistical Analyses using S-Plus (2nd Design and Analysis of Experiments: With Applications to Engi- ed.), 146 neering and Science, 318 Fox, John, An R and S-Plus Companion to Applied Regression, 316 Mead, Roger, Curnow, Robert N., and Hasted, Anne M., Statistical Garrity, Thomas A., All the Mathematics You Missed [But Need to Know Methods in Agricultural and Experimental Biology (3rd ed.), 317 for Graduate School], 69 Mendenhall, William, Beaver, Robert, and Beaver, Barbara, /ntroduc- Good, Phillip I1., Resampling Methods: A Practical Guide to Data Analy- tion to Probability and Statistics (1\th ed.), 219 sis (2nd ed.), 70 Mills, T. M., Problems in Probability, 218 The American Statistician, November 2003, Vol. 57, No. 4 Montgomery, Douglas C., Peck, Elizabeth A., and Vining, G. Geoffrey, ed.), 145 Introduction to Linear Regression Analysis (3rd ed.), 67 Sidebotham, Thomas H., The A to Z of Mathematics: A Basic Guide, Myers, Jerome L., and Well, Arnold D., Research Design and Statisti- 218 cal Analysis (2nd ed.), 318 Spurrier, John D., The Practice of Statistics: Putting the Pieces To- Myers, Raymond H., Montgomery, Douglas C., and Vining, G. Geoffrey, gether, 142 Generalized Linear Models: With Applications in Engineering and Sterrett, Andrew (ed.), /0/ Careers in Mathematics (2nd ed.), 318 the Sciences, 67 Stevens, James P., Applied Multivariate Statistics for the Social Sci- Nahin, Paul J., “Duelling Idiots and Other Probability Puzzlers, 218 ences (4th ed.), 68 Oehlert, Gary W., A First Course in Design and Analysis of Experi- van Belle, Gerald, Statistical Rules of Thumb, 142 ments, 66 Williams, David, Weighing the Odds: A Course in Probability and Sta- Page, Melanie C., Braver, Sanford L., and Mackinnon, David P., Levine's tistics, 144 Guide to SPSS for Analysis of Variance (2nd ed.), 318 Wilson, Richard, and Crouch, Edmund, A. C., Risk-Benefit Analysis Ramsey, Fred L., and Schafer, Daniel W., The Statistical Sleuth (2nd (2nd ed.), 69 326 The American Statistician, November 2003, Vol. 57, No. 4

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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.