The American Statistician

2012 - 2018

Contiuation of The American Statistician.

Current editor(s): Eric Sampson

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Volume 72, issue 2, 2018

A Cautionary Note on Beta Families of Distributions and the Aliases Within pp. 121-129

Alan D. Hutson and Albert Vexler

Simulation of Constrained Variables in Engineering Risk Analyses pp. 130-139

Sashi Kanth Tadinada and Abhinav Gupta

A Note on Collinearity Diagnostics and Centering pp. 140-146

Santiago Velilla

On Teaching Statistical Practice: From Novice to Expert pp. 147-154

Joel B. Greenhouse and Howard J. Seltman

A Note on “Shaved Dice” Inference pp. 155-157

Rolf Sundberg

Visualizing Type II Error in Normality Tests pp. 158-162

José A. Sánchez-Espigares, Pere Grima and Lluís Marco-Almagro

Regression Using Pairs vs. Regression on Differences: A Real-life Case Study for a Master's Level Methods Class pp. 163-168

Daniel R. Jeske and Janet M. Myhre

An Expression for Fast Computation of Sample Central Moments pp. 169-171

Saralees Nadarajah and Rui Li

On the Gaussian Mixture Representation of the Laplace Distribution pp. 172-174

Peng Ding and Joseph K. Blitzstein

The Tale of Cochran's Rule: My Contingency Table has so Many Expected Values Smaller than 5, What Am I to Do? pp. 175-183

P. M. Kroonenberg and Albert Verbeek

Estimating Desired Sample Size for Simple Random Sampling of a Skewed Population pp. 184-190

Timothy G. Gregoire and David L. R. Affleck

A New Lens on High School Dropout: Use of Correspondence Analysis and the Statewide Longitudinal Data System pp. 191-198

Kathryn Schaefer Ziemer, Bianica Pires, Vicki Lancaster, Sallie Keller, Mark Orr and Stephanie Shipp

Facilitating the Calculation of the Efficient Score Using Symbolic Computing pp. 199-205

Alexander B. Sibley, Zhiguo Li, Yu Jiang, Yi-Ju Li, Cliburn Chan, Andrew Allen and Kouros Owzar

Reviews of Books and Teaching Materials pp. 206-212

The Editors

Volume 72, issue 1, 2018

Introduction: Special Issue on Data Science pp. 1-1

Hadley Wickham, Jennifer Bryan and Nicole Lazar

Data Organization in Spreadsheets pp. 2-10

Karl W. Broman and Kara H. Woo

Documenting and Evaluating Data Science Contributions in Academic Promotion in Departments of Statistics and Biostatistics pp. 11-19

Lance A. Waller

Excuse Me, Do You Have a Moment to Talk About Version Control? pp. 20-27

Jennifer Bryan

Extending R with C++: A Brief Introduction to Rcpp pp. 28-36

Dirk Eddelbuettel and James Joseph Balamuta

Forecasting at Scale pp. 37-45

Sean J. Taylor and Benjamin Letham

How R Helps Airbnb Make the Most of its Data pp. 46-52

Ricardo Bion, Robert Chang and Jason Goodman

How to Share Data for Collaboration pp. 53-57

Shannon E. Ellis and Jeffrey T. Leek

Infrastructure and Tools for Teaching Computing Throughout the Statistical Curriculum pp. 58-65

Mine Çetinkaya-Rundel and Colin Rundel

Lessons From Between the White Lines for Isolated Data Scientists pp. 66-71

Benjamin S. Baumer

Modeling Offensive Player Movement in Professional Basketball pp. 72-79

Steven Wu and Luke Bornn

Packaging Data Analytical Work Reproducibly Using R (and Friends) pp. 80-88

Ben Marwick, Carl Boettiger and Lincoln Mullen

Teaching Stats for Data Science pp. 89-96

Daniel Kaplan

Wrangling Categorical Data in R pp. 97-104

Amelia McNamara and Nicholas J. Horton

Reviews of Books and Teaching Materials pp. 105-113

The Editors

Comment on “A Note on Collinearity Diagnostics and Centering” by Velilla (2018) pp. 114-117

Ronald Christensen

Reply pp. 117-119

Santiago Velilla

Volume 71, issue 4, 2017

A Note on High-Dimensional Linear Regression With Interactions pp. 291-297

Ning Hao and Hao Helen Zhang

A Note on Priors for the Multinomial Model pp. 298-301

Frank Tuyl

A Simple Analysis of the Exact Probability Matching Prior in the Location-Scale Model pp. 302-304

Thomas J. DiCiccio, Todd A. Kuffner and G. Alastair Young

What Do Interpolated Nonparametric Confidence Intervals for Population Quantiles Guarantee? pp. 305-309

Jesse Frey and Yimin Zhang

A Coefficient of Determination for Generalized Linear Models pp. 310-316

Dabao Zhang

Excel Templates: A Helpful Tool for Teaching Statistics pp. 317-325

Alejandro Quintela-del-Río and Mario Francisco-Fernández

Introductory Statistics Textbooks and the GAISE Recommendations pp. 326-335

Peter K. Dunn, Michael D. Carey, Michael B. Farrar, Alice M. Richardson and Christine McDonald

Teaching Decision Theory Proof Strategies Using a Crowdsourcing Problem pp. 336-343

Luís Gustavo Esteves, Rafael Izbicki and Rafael Bassi Stern

A Comparison of Correlation Structure Selection Penalties for Generalized Estimating Equations pp. 344-353

Philip M. Westgate and Woodrow W. Burchett

Mean-Minimum Exact Confidence Intervals pp. 354-368

Joseph B. Lang

Reviews of Books and Teaching Materials pp. 369-372

The Editors

Comment on “The Target Parameter of Adjusted R-Squared in Fixed-Design Experiments” by Bar-Gera (2017) pp. 373-375

Ronald Christensen

Editorial Collaborators pp. 376-377

The Editors

Editorial Board EOV pp. ebi-ebi

The Editors

Volume 71, issue 3, 2017

A Note on the Inverse Birthday Problem With Applications pp. 191-201

Wen-Han Hwang, Richard Huggins and Lu-Fang Chen

Sufficiency Revisited: Rethinking Statistical Algorithms in the Big Data Era pp. 202-208

Jarod Y. L. Lee, James J. Brown and Louise M. Ryan

Statistical Engineering: An Idea Whose Time Has Come? pp. 209-219

Roger W. Hoerl and Ronald D. Snee

Strategies for Success: Early-Stage Collaborating Biostatistics Faculty in an Academic Health Center pp. 220-230

Heidi Spratt, Erin E. Fox, Nawar Shara and Madhu Mazumdar

All Data are Wrong, but Some are Useful? Advocating the Need for Data Auditing pp. 231-235

Sitsofe Tsagbey, Miguel de Carvalho and Garritt L. Page

On the Use of the Concentration Function in Medical Fraud Assessment pp. 236-241

Tahir Ekin, Francesca Ieva, Fabrizio Ruggeri and Refik Soyer

Coherent Hypothesis Testing pp. 242-248

Victor Fossaluza, Rafael Izbicki, Gustavo Miranda da Silva and Luís Gustavo Esteves

Resolving a Multi-Million Dollar Contract Dispute With a Latin Square pp. 249-258

William B. Fairley, Peter J. Kempthorne, Julie Novak, Scott McGarvie, Steve Crunk, Bee Leng Lee and Alan J. Salzberg

Bayes and MCMC for Undergraduates pp. 259-264

Jeff Witmer

Convergence of Known Distributions to Limiting Normal or Non-normal Distributions: An Elementary Ratio Technique pp. 265-271

Subhash Bagui and K. L. Mehra

A Useful Pivotal Quantity pp. 272-274

Panagiotis (Panos) Toulis

Comparing Two Tests for Two Rates pp. 275-281

Chunpeng Fan, Lin Wang and Lynn Wei

Reviews of Books and Teaching Materials pp. 282-289

The Editors

Volume 71, issue 2, 2017

Reversals of Least-Square Estimates and Model-Invariant Estimation for Directions of Unique Effects pp. 97-105

Brian Knaeble and Seth Dutter

Approximate Bayesianity of Frequentist Confidence Intervals for a Binomial Proportion pp. 106-111

Shaobo Jin, Måns Thulin and Rolf Larsson

The Target Parameter of Adjusted R-Squared in Fixed-Design Experiments pp. 112-119

Hillel Bar-Gera

Wallet Game: Probability, Likelihood, and Extended Likelihood pp. 120-122

Yudi Pawitan and Youngjo Lee

Multivariate Chebyshev Inequality With Estimated Mean and Variance pp. 123-127

Bartolomeo Stellato, Bart P. G. Van Parys and Paul J. Goulart

A Statistical Inference Course Based on -Values pp. 128-136

Ryan Martin

A Bayesian Analysis of Synchronous Distance Learning versus Matched Traditional Control in Graduate Biostatistics Courses pp. 137-144

Jo A. Wick, Hung-Wen Yeh and Byron J. Gajewski

Explaining Normal Quantile-Quantile Plots Through Animation: The Water-Filling Analogy pp. 145-147

Robert A. Stine

The Quality of Pitches in Major League Baseball pp. 148-154

Philippa Swartz, Mike Grosskopf, Derek Bingham and Tim B. Swartz

The Current Landscape of Teaching Analytics to Business Students at Institutions of Higher Education: Who is Teaching What? pp. 155-161

Amy L. Phelps and Kathryn A. Szabat

An Empirical Comparison of Multiple Imputation Methods for Categorical Data pp. 162-170

Olanrewaju Akande, Fan Li and Jerome Reiter

Efficient Computation of Reduced Regression Models pp. 171-176

Stuart R. Lipsitz, Garrett M. Fitzmaurice, Debajyoti Sinha, Nathanael Hevelone, Edward Giovannucci, Quoc-Dien Trinh and Jim C. Hu

Closed-Form Estimators for the Gamma Distribution Derived From Likelihood Equations pp. 177-181

Zhi-Sheng Ye and Nan Chen

Reviews of Books and Teaching Materials pp. 182-186

The Editors

Models for count data pp. 187-190

Iain L. MacDonald

Non-Asymptotic Mean and Variance Also Approximately Satisfy Taylor's Law pp. 187-187

Michael P. Cohen

Reply pp. 190-190

Kimberly F. Sellers, Darcy S. Morris, Galit Shmueli and Li Zhu

Volume 71, issue 1, 2017

What is Mentoring? pp. 1-2

Aarti Shah

Mentoring in the ASA: A Commentary pp. 3-4

David Morganstein

Mentoring in the ASA: A Rejoinder pp. 5-5

Mary Kwasny

Statistical Mentoring at Early Training and Career Stages pp. 6-14

Christine M. Anderson-Cook, Michael S. Hamada, Leslie M. Moore and Joanne R. Wendelberger

The Big Tent for Statistics: Mentoring Required pp. 15-22

Eric A. Vance, Donna E. LaLonde and Lin Zhang

An Eight-Step Guide to Creating and Sustaining a Mentoring Program pp. 23-29

Eric A. Vance, Erin Tanenbaum, Amarjot Kaur, Mark C. Otto and Richard Morris

Building Bridges: The Role of an Undergraduate Mentor pp. 30-33

Mark Daniel Ward

Re-Defining the, and of Mentoring for Professional Statisticians pp. 34-37

Lauren Vollmer, Aparna Keshaviah, Dmitriy Poznyak, Sharon Zhao, Fei Xing and Nicholas Beyler

Developing a Career in the Practice of Statistics: The Mentor's Perspective pp. 38-46

Kim Love, Eric A. Vance, Frank E. Harrell,, Dallas E. Johnson, Michael H. Kutner, Ronald D. Snee and Doug Zahn

Mentoring Faculty Women in Statistics: Exploring Challenges and Opportunities for Leadership Development pp. 47-54

Amanda L. Golbeck

Mentoring to Achieve Diversity in Graduate Programs pp. 55-60

Jacqueline M. Hughes-Oliver

Experience Simpson's Paradox in the Classroom pp. 61-66

Jiangtao Gou and Fengqing (Zoe) Zhang

An Intuitive Geometric Approach to the Gauss Markov Theorem pp. 67-70

Leandro da Silva Pereira, Lucas Monteiro Chaves and Devanil Jaques de Souza

Bridging the Gap: A Generalized Stochastic Process for Count Data pp. 71-80

Li Zhu, Kimberly F. Sellers, Darcy Steeg Morris and Galit Shmueli

Point Estimates of Test Sensitivity and Specificity from Sample Means and Variances pp. 81-87

Richard G. Spencer, Benjamin D. Cortese, Vanessa A. Lukas and Nancy Pleshko

Response to the ASA’s Statement on -Values: Context, Process, and Purpose pp. 88-89

Edward L. Ionides, Alexander Giessing, Yaacov Ritov and Scott E. Page

Letter to the Editor: Average Entropy Does Not Measure Uncertainty pp. 89-90

Susan E. Hodge

Response to "Average Entropy Does Not Measure Uncertainty" pp. 91-91

Omar A. Kittaneh

Reviews of Books and Teaching Materials pp. 92-96

Reza Ramezan