# 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 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*
- Non-Asymptotic Mean and Variance Also Approximately Satisfy Taylor's Law pp. 187-187
*Michael P. Cohen*
- Models for count data pp. 187-190
*Iain L. MacDonald*
- 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*
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