# The American Statistician
2012 - 2018
Continuation of The American Statistician. Current editor(s): *Eric Sampson* From Taylor & Francis Journals Bibliographic data for series maintained by Chris Longhurst (). Access Statistics for this journal.
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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*
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