The American Statistician

2012 - 2017

Continuation of The American Statistician.

Current editor(s): Eric Sampson

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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

Volume 70, issue 4, 2016

Assessing Equality of Means Using the Overlap of Range-Preserving Confidence Intervals pp. 325-334

Kimihiro Noguchi and Fernando Marmolejo-Ramos

How the Maximal Evidence of -Values Against Point Null Hypotheses Depends on Sample Size pp. 335-341

Leonhard Held and Manuela Ott

Improving the Big East Conference Basketball Tournament pp. 342-349

Christopher Abdul-Chani and Jesse Frey

Understanding the Ensemble Kalman Filter pp. 350-357

Matthias Katzfuss, Jonathan R. Stroud and Christopher K. Wikle

Bias Introduced by Rounding in Multiple Imputation for Ordered Categorical Variables pp. 358-364

Yan Xia and Yanyun Yang

Interval Estimation for the “Net Promoter Score” pp. 365-372

Brendan Rocks

How Robust Are Multirater Interrater Reliability Indices to Changes in Frequency Distribution? pp. 373-384

David Quarfoot and Richard A. Levine

Weighing Evidence “Steampunk” Style via the Meta-Analyser pp. 385-394

Jack Bowden and Chris Jackson

Computation of Two- and Three-Dimensional Confidence Regions With the Likelihood Ratio pp. 395-398

Adam Jaeger

Statistics of Primes (and Probably Twin Primes) Satisfy Taylor's Law from Ecology pp. 399-404

Joel E. Cohen

Meeting Student Needs for Multivariate Data Analysis: A Case Study in Teaching an Undergraduate Multivariate Data Analysis Course pp. 405-412

Amy Wagaman

Sojourning With the Homogeneous Poisson Process pp. 413-423

Piaomu Liu and Edsel A. Peña

Reviews of Books and Teaching Materials pp. 424-433

The Editors

Letter to the Editor pp. 434-434

Lawrence M. Lesser

Editorial Collaborators pp. 435-437

The Editors

Editorial Board EOV pp. ebi-ebi

The Editors

Volume 70, issue 3, 2016

On Galton's Change From “Reversion” to “Regression” pp. 227-231

Prakash Gorroochurn

A Unified Approach to Authorship Attribution and Verification pp. 232-242

Xavier Puig, Martí Font and Josep Ginebra

Data-Driven Confidence Interval Estimation Incorporating Prior Information with an Adjustment for Skewed Data pp. 243-249

Albert Vexler, Li Zou and Alan D. Hutson

Calibrated Bayes Factors in Assessing Genetic Association Models pp. 250-256

J. G. Liao, Duanping Liao and Arthur Berg

The Class Joke Contest: Encouraging Creativity and Improving Attendance pp. 257-259

John C. Wierman

Teaching and Learning Data Visualization: Ideas and Assignments pp. 260-269

Deborah Nolan and Jamis Perrett

Mean, What do You Mean? pp. 270-274

Miguel de Carvalho

The Number of MCMC Draws Needed to Compute Bayesian Credible Bounds pp. 275-284

Jia Liu, Daniel J. Nordman and William Q. Meeker

Case Study in Evaluating Time Series Prediction Models Using the Relative Mean Absolute Error pp. 285-292

Nicholas G. Reich, Justin Lessler, Krzysztof Sakrejda, Stephen A. Lauer, Sopon Iamsirithaworn and Derek A. T. Cummings

On the Conditional Distribution of the Multivariate Distribution pp. 293-295

Peng Ding

Visualizing Count Data Regressions Using Rootograms pp. 296-303

Christian Kleiber and Achim Zeileis

Visualizing Mean, Median, Mean Deviation, and Standard Deviation of a Set of Numbers pp. 304-312

Jyotirmoy Sarkar and Mamunur Rashid

Reviews of Books and Teaching Materials pp. 313-322

The Editors

Corrigendum pp. 323-323

Ben O'Neill

Volume 70, issue 2, 2016

The ASA's Statement on p -Values: Context, Process, and Purpose pp. 129-133

Ronald L. Wasserstein and Nicole A. Lazar

Confidence Intervals for the Scale Parameter of Exponential Family of Distributions pp. 134-137

Hossein Hoshyarmanesh, Amirhossein Karami and Adel Mohammadpour

Explaining the Importance of Variability to Engineering Students pp. 138-142

Pere Grima, Lourdes Rodero and Xavier Tort-Martorell

A Note on the Relationship Between the Phi Coefficient and the Tetrachoric Correlation Under Nonnormal Underlying Distributions pp. 143-148

Hakan Demirtas

Training the Next Generation of Statisticians: From Head to Heart pp. 149-151

Henry S. Lynn

A Statistical Approach to Crime Linkage pp. 152-165

Michael D. Porter

Analogies for Helping Clinicians and Investigators Better Understand the Principles and Practice of Biostatistics pp. 166-170

Martin L. Lesser, Meredith B. Akerman and Nina Kohn

Simple Estimation Intervals for Poisson, Exponential, and Inverse Gaussian Means Obtained by Symmetrizing the Likelihood Function pp. 171-180

Eloísa Díaz-Francés

Statistical Modeling to Inform Optimal Game Strategy: Markov Plays H-O-R-S-E pp. 181-186

Thaddeus Tarpey and R. Todd Ogden

Best Practices for Biostatistical Consultation and Collaboration in Academic Health Centers pp. 187-194

Susan M. Perkins, Peter Bacchetti, Cynthia S. Davey, Christopher J. Lindsell, Madhu Mazumdar, Robert A. Oster, Peter N. Peduzzi, David M. Rocke, Kyle D. Rudser and Mimi Kim

A Simple Two-Sample Bayesian t -Test for Hypothesis Testing pp. 195-201

Min Wang and Guangying Liu

Variations of Q -- Q Plots: The Power of Our Eyes! pp. 202-214

Adam Loy, Lendie Follett and Heike Hofmann

Confidence Intervals and the Within-the-Bar Bias pp. 215-220

Christopher S. Pentoney and Dale E. Berger

Letter to the Editor pp. 224-224

Saralees Nadarajah

Volume 70, issue 1, 2016

Samurai Sudoku-Based Space-Filling Designs for Data Pooling pp. 1-8

Xu Xu, Peter Z. G. Qian and Qing Liu

Characterizing Dirichlet Priors pp. 9-17

Marcio A. Diniz, Jasper De Bock and Arthur Van Camp

Average Entropy: A New Uncertainty Measure with Application to Image Segmentation pp. 18-24

Omar A. Kittaneh, Mohammad A. U. Khan, Muhammed Akbar and Husam A. Bayoud

The Advantages of Using Group Means in Estimating the Lorenz Curve and Gini Index From Grouped Data pp. 25-32

Merritt Lyon, Li C. Cheung and Joseph L. Gastwirth

The p -Value You Can’t Buy pp. 33-38

Eugene Demidenko

Evaluating the Validity of Post-Hoc Subgroup Inferences: A Case Study pp. 39-46

Joseph J. Lee and Donald B. Rubin

The Central Role of Bayes’ Theorem for Joint Estimation of Causal Effects and Propensity Scores pp. 47-54

Corwin Matthew Zigler

A New Approach to ANOVA Methods for Autocorrelated Data pp. 55-62

Robert Lund, Gang Liu and Qin Shao

Misunderstood and Unattributed: Revisiting M. H. Doolittle's Measures of Association, With a Note on Bayes’ Theorem pp. 63-73

Timothy W. Armistead

Self-Calibrating Quantile--Quantile Plots pp. 74-90

R. Wayne Oldford

k -POD: A Method for k -Means Clustering of Missing Data pp. 91-99

Jocelyn T. Chi, Eric C. Chi and Richard G. Baraniuk

Bootstrapping a Universal Pivot When Nuisance Parameters are Estimated pp. 100-107

John E. Angus

An Example of an Improvable Rao--Blackwell Improvement, Inefficient Maximum Likelihood Estimator, and Unbiased Generalized Bayes Estimator pp. 108-113

Tal Galili and Isaac Meilijson

Even More Direct Calculation of the Variance of a Maximum Penalized-Likelihood Estimator pp. 114-118

Iain L. MacDonald and Brendon M. Lapham

Privacy, Big Data, and the Public Good: Frameworks for Engagement pp. 119-119

Philip B. Stark

Letter to the Editor pp. 127-127

Stephen M. Stigler