# American Statistical Association

# The American Statistician

This journal is no longer published by American Statistical Association. For a followup journal, see The American Statistician, published by Taylor & Francis Journals.
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### 2003, Volume 57

**37-45 College Students Conceptions of Probability***by*Albert J.H.**46-50 Teaching Experiences With a Course on***by*Symanzik J. & Vukasinovic N.**51-57 Illustrating the Law of Large Numbers (and Confidence Intervals)***by*Blume J.D. & Royall R.M.**58-61 Suppression and Confounding in Action***by*Lynn H.S.**62-65 A Real Example That Illustrates Interesting Properties of Bootstrap Bias Correction***by*Jeske D.R. & Sampath A.**66-66 Statistics with Confidence (2nd ed.)***by*Cleary R.J.**67-67 Introduction to Linear Regression Analysis (3rd ed.)***by*Jammalamadaka S.R.**68-69 Applied Multivariate Statistics for the Social Sciences (4th ed.)***by*Gonzalez R.**69-69 Risk-Benefit Analysis (2nd ed.)***by*Haigh J.**70-70 Resampling Methods: A Practical Guide to Data Analysis (2nd ed.)***by*Gentleman R.**73-73 Special Section on Statistical Literacy: How You Can Help***by*Utts J.**74-79 What Educated Citizens Should Know About Statistics and Probability***by*Utts J.**80-84 Teaching for Statistical Literacy and Services of Statistics Agencies***by*Gal I.**85-88 Promoting Statistical Thinking Among Secondary School Students in the National Context***by*Boland P.J.**89-93 The Getting of Wisdom: Educating Statisticians to Enhance Their Clients Numeracy***by*Sowey E.R.**94-94 A New Column in The American Statistician***by*Albert J.H.**97-104 Type I Error Inflation in the Presence of a Ceiling Effect***by*Austin P.C. & Brunner L.J.**105-114 Fixing the F Test for Equal Variances***by*Shoemaker L.H.**115-123 How Do Statisticians Perceive Statistics Journals?***by*Theoharakis V. & Skordia M.**124-131 Local Versus Global Models for Classification Problems: Fitting Models Where it Matters***by*Hand D.J. & Vinciotti V.**132-138 Exact Confidence Intervals for Nonconstant Effects by Inverting the Signed Rank Test***by*Rosenbaum P.R.**139-141 Monotone Regrouping, Regression, and Simpsons Paradox***by*Rinott Y. & Tam M.**142-142 Statistical Rules of Thumb***by*Cleary R.J.**143-144 The First Measured Century***by*Cleary R.J.**144-145 Weighing the Odds: A Course in Probability and Statistics***by*Roback P.**145-146 The Statistical Sleuth (2nd ed.)***by*Ledolter J.**146-146 A Handbook of Statistical Analyses using S-Plus (2nd ed.)***by*Manola J.**153-154 Editors Reports***by*Albert J.H.**155-160 Small Samples and Ordered Logistic Regression: Does it Help to Collapse Categories of Outcome?***by*Murad H. & Fleischman A. & Sadetzki S. & Geyer O. & Freedman L.S.**161-165 Adjusted Coefficients of Determination for Logistic Regression***by*Liao J.G. & McGee D.**166-170 Sample Size: More Than Calculations***by*Parker R.A. & Berman N.G.**171-178 Confusion Over Measures of Evidence (ps) Versus Errors (alphas) in Classical Statistical Testing***by*Hubbard R. & Bayarri M.J.**178-179 Discussion***by*Berk K.N.**179-181 Discussion***by*Carlton M.A.**183-188 Nearly Nonparametric Multivariate Density Estimates That Incorporate Marginal Parametric Density Information***by*Spiegelman C. & Ark E.S.**189-189 Introduction***by*Scheuren F.**190-192 Galtons Bend: A Previously Undiscovered Nonlinearity in Galtons Family Stature Regression Data***by*Wachsmuth A. & Wilkinson L. & Dallal G.E.**193-199 A Diamond-Shaped Equiponderant Graphical Display of the Effects of Two Categorical Predictors on Continuous Outcomes***by*Li X. & Buechner J.M. & Tarwater P.M. & Munoz A.**200-200 Section Editors Notes***by*Hilbe J.**201-213 An Examination of Statistical Software Packages for Categorical Data Analysis Using Exact Methods-Part II***by*Oster R.A.**214-217 Comparing Statistical Software Packages: The Case of the Logrank Test in StatXact***by*Callaert H.**218-218 The A to Z of Mathematics: A Basic Guide***by*Anderson-Cook C.M.**219-219 Basic Statistics and Data Analysis (with InfoTrac and CD-ROM) (1st ed.), Introduction to Probability and Statistics (11th ed.)and Just the Essemtials of Elementary Statistics (3rd ed.)***by*Miller S.J.**229-232 A Potential for Bias When Rounding in Multiple Imputation***by*Horton N.J. & Lipsitz S.R. & Parzen M.**233-236 Confidence Intervals for Mean Absolute Deviations***by*Bonett D.G. & Seier E.**237-240 Use of the Sign Test for the Median in the Presence of Ties***by*Fong D.Y.T. & Kwan C.W. & Lam K.F. & Lam K.S.L.**241-248 A Penalized Maximum Likelihood Approach for the Ranking of College Football Teams Independent of Victory Margins***by*Mease D.**249-252 On a Sampling Design for Estimation of Negligible Accident Rates Involving Electronic Toys***by*Hedayat A.S. & Sinha B.K.**253-253 Introduction***by*Scheuren F.**254-257 A History of the Metropolis-Hastings Algorithm***by*Hitchcock D.B.**258-264 What Happens When a 1 1 r Die is Rolled?***by*Dunn P.K.**265-267 A Gentle Introduction to Optimal Design for Regression Models***by*OBrien T.E. & Funk G.M.**268-274 Raindrop Plots: A New Way to Display Collections of Likelihoods and Distributions***by*Barrowman N.J. & Myers R.A.**275-284 Detecting Dependence With Kendall Plots***by*Genest C. & Boies J-C.**285-288 A Graphical Tool for Assessing Normality***by*Hazelton M.L.**289-289 Section Editors Notes***by*Hilbe J.**290-309 A Review of Software Packages for Data Mining***by*Haughton D. & Deichmann J. & Eshghi A. & Sayek S. & Teebagy N. & Topi H.**310-315 A Review of Current SPSS Products: SPSS 12, SigmaPlot 8.02, SigmaStat 3.0, Part 1***by*Hilbe J.M.**316-316 An R and S-PLUS Companion to Applied Regression***by*Cowles M.K.**317-317 Statistical Methods in Agricultural and Experimental Biology (3rd ed.)***by*Anderson-Cook C.M. & Alley M.M.**94-96 Looking Back So We Can Look Forward***by*Scheuren F.**69-70 All the Mathematics You Missed But Need to Know for Graduate School***by*Terrell G.**67-68 Generalized Linear Models: With Applications in Engineering and the Sciences***by*Hu X.J.**66-67 A First Course in Design and Analysis of Experiments***by*Wulff S.S.**316-317 Hyperstat (2nd ed.)***by*Jersky B.**218-218 Duelling Idiots amd Other Probability Puzzlers and What are the Chances? Voodoo Deaths, Office Gossip, and Other Adventures in Probability***by*Cleary R.J.**142-143 The Practice of Statistics: Putting the Pieces Together***by*Pillers Dobler C.

### 2002, Volume 56

**1-4 The Role of Informative Priors in Zero-Numerator Problems: Being Conservative Versus Being Candid***by*Winkler R. L. & Smith J. E. & Fryback D. G.**5-9 Measuring a Binary Responses Range of Influence in Logistic Regression***by*Fay M. P.**10-21 Tiered Polychotomous Regression: Ranking NFL Quarterbacks***by*White C. & Berry S.**22-28 Thoughts on the Origins, Concepts, and Pedagogy of Statistics as a***by*Bessant K. C. & MacPherson E. D.**29-38 The Calculus of M-Estimation***by*Stefanski L. A. & Boos D. D.**39-43 The Equivalence Between the Cholesky Decomposition and the Kalman Filter***by*Eubank R. L. & Wang S.**44-47 The Existence of the First Negative Moment Revisited***by*Khuri A. & Casella G.**48-54 The Mixture Approach for Simulating Bivariate Distributions With Specified Correlations***by*Michael J. R. & Schucany W. R.**55-62 Vector Differential Calculus in Statistics***by*Wand M. P.**63-70 Designing Monte Carlo Implementations of Permutation or Bootstrap Hypothesis Tests***by*Fay M. P. & Follmann D. A.**71-71 Section Editors Notes***by*Hilbe J.**72-75 A Review of JMP 4.03 With Special Attention to its Numerical Accuracy***by*Altman M.**83-84 Editors Reports***by*Stokes L.**85-89 A Comparison of Nine Confidence Intervals for a Poisson Parameter When the Expected Number of Events is 5***by*Barker L.**90-99 The Standard Two-Sided Power Distribution and its Properties: With Applications in Financial Engineering***by*van Dorp J.R. & Kotz S.**100-101 A Simple Derivation of the Wishart Distribution***by*Ghosh M. & Sinha B.K.**102-106 Rao-Cramer Type Inequalities for Mean Squared Error of Prediction***by*Nayak T.K.**107-112 Statistics Education and the Making Statistics More Effective in Schools of Business Conferences***by*Love T.E. & Hildebrand D.K.**113-120 Illustrating the Neyman-Pearson Lemma With a Stopping Rule of Order k***by*Bradstreet T.E. & Parnes M.N.**121-130 Lets Practice What We Preach: Turning Tables into Graphs***by*Gelman A. & Pasarica C. & Dodhia R.**131-138 Displays for Direct Comparison of ARIMA Models***by*Heiberger R.M. & Teles P.**139-147 Representing Trees Using Microsoft Doughnut Charts***by*Bordley R.F.**148-148 Section Editors Notes***by*Hilbe J.**149-155 The Saw-Toothed Behavior of Power Versus Sample Size and Software Solutions: Single Binomial Proportion Using Exact Methods***by*Chernick M.R. & Liu C.Y.**163-170 A Preliminary Investigation of Maximum Likelihood Logistic Regression versus Exact Logistic Regression***by*King E.N. & Ryan T.P.**171-174 A Note on the Use of Marginal Likelihood and Conditional Likelihood in Analyzing Clustered Data***by*Pan W.**175-185 Quantitative Analysis of Literary Styles***by*Peng R.D. & Hengartner N.W.**186-190 Probability Inequalities Related to Markovs Theorem***by*Ghosh B.K.**191-195 Measuring Dependency With Volume Tests***by*Sabatti C.**196-201 On the Sensitivity of Bayes Factors to the Prior Distributions***by*Sinharay S. & Stern H.S.**202-206 Median of the p Value Under the Alternative Hypothesis***by*Bhattacharya B. & Habtzghi D.**207-214 Bayesian Design of***by*Bayarri M.J. & Mayoral A.M.**215-222 Hypothesis Testing About Proportions in Two Finite Populations***by*Krishnamoorthy K. & Thomson J.**223-229 Is Human Height Bimodal?***by*Schilling M.F. & Watkins A.E. & Watkins W.**230-233 Beyond Traditional Statistical Methods***by*Duckworth W.M. & Stephenson W.R.**234-234 Section Editors Notes***by*Hilbe J.**235-246 An Examination of Statistical Software Packages for Categorical Data Analysis Using Exact Methods***by*Oster R.A.**247-247 A First Course in Probability***by*Devore J.**248-248 Applied Probability Models***by*Fotopoulos S.B.**249-250 Understanding Statistical Concepts Using S-Plus***by*Lund U.J.**250-251 Contemporary Business Statistics with Microsoft Excel***by*Walker J.H.**251-251 Applied Nonparametric Statistical Methods, 3rd Edition***by*Jammalamadaka S.R.**261-262 Editors Reports***by*Stokes L. & Albert J.H.**263-272 A Graphical Method for Assessing the Fit of a Logistic Regression Model***by*Pardoe I. & Cook R.D.**273-283 Characterizing the Diurnal Rhythm of DHEA***by*Erosheva E.A. & Kroboth P.D. & Greenhouse J.B.**284-289 Split-Plot Model With Covariate: A Cautionary Tale***by*Aldworth J. & Hoffman W.P.**290-298 Deming and the Proactive Statistician***by*Hahn G.J.**299-303 Seek Whence: Answer Sequences and Their Consequences in Key-Balanced Multiple-Choice Tests***by*Bar-Hillel M. & Attali Y.**304-307 On Khintchines Theorem and its Place in Random Variate Generation***by*Jones M.C.**308-311 You Can Load a Die, But You Cant Bias a Coin***by*Gelman A. & Nolan D.**312-315 Case Study Based Instruction of DOE and SPC***by*Brady J.E. & Allen T.T.**316-324 Corrgrams: Exploratory Displays for Correlation Matrices***by*Friendly M.**325-325 Statistical Computing Software Reviews: Section Editors Notes***by*Hilbe J.**326-328 XPro 5.1: Exact Procedures for Parametric Statistical Inference***by*Hilbe J.M.**329-329 Statistical Consulting***by*Anderson-Cook C.M.**330-331 News and Numbers: A Guide to Reporting Statistical Claims and Controversies in Health and Related Fields, (2nd Ed.)***by*Utts J.**331-331 Statistics at Square Two: Understanding Modern Statistical Applications in Medicine***by*Abbott R.D.**332-332 Mathematical Statistics: Basic Ideas and Selected Topics (vol. 1, 2nd ed.)***by*Pillers Dobler C.**333-333 The Elements of Statistics: With Applications to Economics and the Social Sciences***by*Reiss E. & Hoffman L.L.**334-335 A Handbook of Statistical Analyses using SAS, 2nd ed***by*Gupta G.**335-336 Teach/Me Data Analysis CD: Single User Edition***by*Bond M.E.**333-334 Experimental Design With Applications in Management, Engineering, and the Sciences***by*Tang B.**332-333 Stochastic Processes. An Introduction***by*Lund R.**331-332 An Introduction to Probability Theory and Mathematical Statistics, (2nd ed.)***by*Cohen A.**329-330 Calculated Bets: Computers, Gambling, and Mathematical Modeling to Win***by*Albert J.H.**248-249 Applied Multivariate Data Analysis (2nd Edition)***by*Williams C.**248-248 Statistics for Psychologists: An Intermediate Course***by*Holmes Rowell G.

### 2001, Volume 55

**1-6 Undergraduate Programs and the Future of Academic Statistics***by*Moore D. S.**7-13 Curriculum Guidelines for Bachelor of Science Degrees in Statistical Science***by*Bryce G.R. & Gould R. & Notz W. I. & Peck R. L.**14-18 Advice From Prospective Employers on Training BS Statisticians***by*Ritter M.A. & Starbuck R. R. & Hogg R. V.**19-24 The Abuse of Power: The Pervasive Fallacy of Power Calculations for Data Analysis***by*Hoenig J. M. & Heisey D. M.**25-34 Conditional Linear Mixed Models***by*Verbeke G. & Spiessens B. & Lesaffre E.**35-40 How to Get a Job in Academics***by*Stasny E. A.**41-50 Using Model/Data Simulations to Detect Streakiness***by*Albert J. & Williamson P.**51-54 On Asymmetric Properties of the Correlation Coeffcient in the Regression Setting***by*Dodge Y. & Rousson V.**55-61 Likelihood Confidence Intervals for Proportions in Finite Populations***by*Wendell J. P. & Schmee J.**62-71 Calibration of rho Values for Testing Precise Null Hypotheses***by*Sellke T. & Bayarri M. J. & Berger J. O.**72-79 Local Regression With Meaningful Parameters***by*Irizarry R. A.**87-88 Editors Report for The American Statistician, Volume 54 (2000)***by*Stokes L.**89-95 A Note on the Estimation of the Multinomial Logit Model With Random Effects***by*Chen Z. & Kuo L.**96-101 On Neutral Responses (Zeros) in the Sign Test and Ties in the Wilcoxon-Mann-Whitney Test***by*Randles R. H.**102-105 An Effective Confidence Interval for the Mean With Samples of Size One and Two***by*Wall M. M. & Boen J. & Tweedie R.**106-110 The Statistical Foundations of the EI Method***by*McCue K. F.**111-120 Eleven Ways to Look at the Chi-Squared Coefficient for Contingency Tables***by*Mirkin B.**121-124 The Inequality Between the Coefficient of Determination and the Sum of Squared Simple Correlation Coefficients***by*Shieh G.**125-130 Comparison of GEE, MINQUE, ML, and REML Estimating Equations for Normally Distributed Data***by*Wu C-t. & Gumpertz M. L. & Boos D. D.**131-139 Distributions Agreeing With Exchangeable Sequential Forecasting***by*Lad F. & Scozzafava R.**140-144 Sequencing Topics in Introductory Statistics: A Debate on What to Teach When***by*Chance B. L. & Rossman A. J.**145-149 Sex, Drugs, and Rock & Roll Survey in a First-Year Service Course in Statistics***by*Bolstad W. M. & Hunt L. A. & McWhirter J. L.**150-152 Visualizing the Median as the Minimum-Deviation Location***by*Hanley J. A. & Joseph L. & Platt R. W. & Chung M. K. & Belisle P.**153-155 Understanding the Cox Regression Models With Time-Change Covariates***by*Zhou M.**156-166 APPL: A Probability Programming Language***by*Glen A. G. & Evans D. L. & Leemis L. M.**175-181 Finding Near-Optimal Bayesian Experimental Designs via Genetic Algorithms***by*Hamada M. & Martz H. F. & Reese C. S. & Wilson A. G.**182-186 On Judging the Significance of Differences by Examining the Overlap Between Confidence Intervals***by*Schenker N. & Gentleman J. F.**187-193 Some Practical Guidelines for Effective Sample Size Determination***by*Lenth R. V.**194-199 The National Hockey League Entry Draft, 1969-1995: An Application of a Weighted Pool-Adjacent-Violators Algorithm***by*Dawson D. & Magee L.**200-202 Logit Confidence Intervals and the Inverse Sinh Transformation***by*Newcombe R. G.**203-206 An Adjusted, Asymmetric Two-Sample t Test***by*Balkin S. D. & Mallows C. L.**207-210 The Kaplan-Meier Estimator as an Inverse-Probability-of-Censoring Weighted Average***by*Satten G. A. & Datta S.**211-212 Another Look at the Cramer-Rao Inequality***by*Kagan A.**213-218 Network Reliability and Borels Paradox***by*Singpurwalla N. D. & Swift A.**219-222 On the Maximum Likelihood Estimates for the Goel-Okumoto Software Reliability Model***by*Jeske D. R. & Pham H.**223-227 Replicating Effects and Biases***by*Rosenbaum P. R.**228-232 A Computer-Based Lab Supplement to Courses in Introductory Statistics***by*Cabilio P. & Farrell P. J.**233-239 Graphical Assessment of Dependence: Is a Picture Worth 100 Tests?***by*Fisher N. I. & Switzer P.**240-243 A Toroidal Scatter Diagram for Ternary Variables***by*Upton G. J. G.**244-254 Multiple Imputation in Practice: Comparison of Software Packages for Regression Models With Missing Variables***by*Horton N. J. & Lipsitz S. R.**263-271 An Exercise in the Real World of Design and Analysis***by*Denby L. & Landwehr J. M. & Mallows C. L.**272-278 The Statistical Paleontology of Charles Lyell and the Coupon Problem***by*McCready T. A. & Schwertman N. C.**279-287 Equivalence Testing for Binomial Random Variables: Which Test to Use?***by*Barker L. & Rolka H. & Rolka D. & Brown C.**288-292 Sample Size for Testing a Proportion in Clinical Trials: A***by*Cesana B. M. & Reina G. & Marubini E.**293-298 Using the Sample Range as a Basis for Calculating Sample Size in Power Calculations***by*Browne R. H.**299-305 Explaining the Perfect Sampler***by*Casella G. & Lavine M. & Robert C. P.**306-309 Dependence in Simulation: A Case Study From the Game of Contract Bridge***by*Shuster J.**310-313 Randomization Inference and Bias of Standard Errors***by*Gadbury G. L.**314-321 Efficiency Study of Estimators for a Treatment Effect in a Pretest-Posttest Trial***by*Yang L. & Tsiatis A. A.**322-325 Is the Property of Being Positively Correlated Transitive?***by*Langford E. & Schwertman N. & Owens M.**326-331 Community-Based Projects in Applied Statistics: Using Service-Learning to Enhance Student Understanding***by*Root R. & Thorme T.**332-336 Statistics in Preschool***by*Hilton S. C. & Grimshaw S. D. & Anderson G. T.**337-344 Exploring the Confidence Interval for a Binomial Parameter in a First Course in Statistical Computing***by*Henderson M. & Meyer M. C.**345-351 Dynamic Graphical Tools for Teaching Experimental Design and Analysis Concepts***by*Iversen P. & Marasinghe M.**352-357 The Central Limit Theorem Under Simple Random Sampling***by*Bellhouse D. R.**358-365 A Tool for Computing Confidence Regions on the Stationary Point of a Response Surface***by*Del Castillo E. & Cahya S.**366-369 Fast and Stable Algorithms for Computing and Sampling From the Noncentral Hypergeometric Distribution***by*Liao J. G. & Rosen O.