The American Statistician

2012 - 2025

Continuation of The American Statistician.

Current editor(s): Eric Sampson

From Taylor & Francis Journals
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Volume 72, issue 4, 2018

Bayesian Inference for Kendall’s Rank Correlation Coefficient pp. 303-308

Johnny van Doorn, Alexander Ly, Maarten Marsman and Eric-Jan Wagenmakers

Optimal Whitening and Decorrelation pp. 309-314

Agnan Kessy, Alex Lewin and Korbinian Strimmer

A “Paradox” in Confidence Interval Construction Using Sufficient Statistics pp. 315-320

Weizhen Wang

A Survey of Reporting Practices of Computer Simulation Studies in Statistical Research pp. 321-327

Michael Harwell, Nidhi Kohli and Yadira Peralta-Torres

A Simple and Effective Inequality Measure pp. 328-343

Luke A. Prendergast and Robert G. Staudte

On Mixture Alternatives and Wilcoxon’s Signed-Rank Test pp. 344-347

Jonathan D. Rosenblatt and Yoav Benjamini

An Improved Boxplot for Univariate Data pp. 348-353

M. L. Walker, Y. H. Dovoedo, S. Chakraborti and C. W. Hilton

An Innovative Classroom Approach for Developing Critical Thinkers in the Introductory Statistics Course pp. 354-358

Sherri Cheng, Mark Ferris and Jessica Perolio

Teaching Ethics in a Statistics Curriculum with a Cross-Cultural Emphasis pp. 359-367

Alan C. Elliott, S. Lynne Stokes and Jing Cao

A Bayesian Survival Analysis of a Historical Dataset: How Long Do Popes Live? pp. 368-375

Julian Stander, Luciana Dalla Valle and Mario Cortina-Borja

Taylor's Law Holds for Finite OEIS Integer Sequences and Binomial Coefficients pp. 376-378

Simon Demers

Model Selection and Regression -Statistics pp. 379-381

DeWayne Derryberry, Ken Aho, John Edwards and Teri Peterson

A Guide to Teaching Data Science pp. 382-391

Stephanie C. Hicks and Rafael A. Irizarry

Comment on Knaeble and Dutter (2017) pp. 392-393

Ronald Christensen

Corrigenda pp. 394-394

The Editors

Volume 72, issue 3, 2018

Minimum Volume Confidence Sets for Two-Parameter Exponential Distributions pp. 213-218

Jin Zhang

Testing for Serial Independence: Beyond the Portmanteau Approach pp. 219-238

Luca Bagnato, Lucio De Capitani and Antonio Punzo

Structural Equation Models for Dealing With Spatial Confounding pp. 239-252

Hauke Thaden and Thomas Kneib

Predicting Home Run Production in Major League Baseball Using a Bayesian Semiparametric Model pp. 253-264

Gilbert W. Fellingham and Jared D. Fisher

The Landscape of Causal Inference: Perspective From Citation Network Analysis pp. 265-277

Weihua An and Ying Ding

The Wilcoxon–Mann–Whitney Procedure Fails as a Test of Medians pp. 278-286

George W. Divine, H. James Norton, Anna E. Barón and Elizabeth Juarez-Colunga

A Simple Probabilistic Proof for the Alternating Convolution of the Central Binomial Coefficients pp. 287-288

Ashok Kumar Pathak

Guns and Suicides pp. 289-294

Daniel Cerqueira, Danilo Coelho, Marcelo Fernandes and Jony Pinto Junior

Reviews of Books and Teaching Materials pp. 295-299

The Editors

Some Complementary History and Results pp. 300-301

Olivier J. M. Guilbaud

Comment on “What Do Interpolated Nonparametric Confidence Intervals for Population Quantiles Guarantee?”, Frey and Zhang (2017) pp. 302-302

Alan Hutson

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 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