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Content
July 2019, Volume 73, Issue 3
- 307-309 R-squared for Bayesian Regression Models
by Andrew Gelman & Ben Goodrich & Jonah Gabry & Aki Vehtari - 310-311 Displaying Time Series, Spatial, and Space-Time Data with R, 2nd ed
by Silas Bergen - 312-312 Letter to the Editor
by Thaddeus Tarpey & Eva Petkova
April 2019, Volume 73, Issue 2
- 109-116 Leadership in Statistics: Increasing Our Value and Visibility
by Eric W. Gibson - 117-125 Revisiting Nested Group Testing Procedures: New Results, Comparisons, and Robustness
by Yaakov Malinovsky & Paul S. Albert - 126-140 Bayesian Analysis on a Noncentral Fisher–Student’s Hypersphere
by Richard Le Blanc - 141-150 Randomization Inference for Outcomes with Clumping at Zero
by Luke Keele & Luke Miratrix - 151-158 A Method to Handle Zero Counts in the Multinomial Model
by Frank Tuyl - 159-164 Near-Balanced Incomplete Block Designs, With an Application to Poster Competitions
by Xiaoyue Niu & James L. Rosenberger - 165-178 A Primer on Visualizations for Comparing Populations, Including the Issue of Overlapping Confidence Intervals
by Tommy Wright & Martin Klein & Jerzy Wieczorek - 179-185 A Starting Point for Navigating the World of Daily Fantasy Basketball
by Charles South & Ryan Elmore & Andrew Clarage & Rob Sickorez & Jing Cao - 186-190 Teaching Bayes’ Theorem: Strength of Evidence as Predictive Accuracy
by Jeffrey N. Rouder & Richard D. Morey - 191-194 Higher-Order Moments Using the Survival Function: The Alternative Expectation Formula
by Subhabrata Chakraborti & Felipe Jardim & Eugenio Epprecht - 195-199 A Note on Bias of Closed-Form Estimators for the Gamma Distribution Derived From Likelihood Equations
by Francisco Louzada & Pedro L. Ramos & Eduardo Ramos - 200-207 A Graphical Tool for Interpreting Regression Coefficients of Trinomial Logit Models
by Flavio Santi & Maria Michela Dickson & Giuseppe Espa - 208-208 Statistical Analysis of Contingency Tables
by Anna Schenfisch & Brittany Fasy - 208-209 Business Survival Analysis Using SAS: An Introduction to Lifetime Probabilities
by Xin Wang - 209-210 Quantitative Methods for HIV/AIDS Research
by Nicole Bohme Carnegie - 210-211 Clinical Trial Optimization Using R
by Emily Dressler - 211-212 Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS
by Minggen Lu
January 2019, Volume 73, Issue 1
- 1-3 Why are p-Values Controversial?
by Todd A. Kuffner & Stephen G. Walker - 4-9 Asymptotic Properties of Marginal Least-Square Estimator for Ultrahigh-Dimensional Linear Regression Models with Correlated Errors
by Gyuhyeong Goh & Dipak K. Dey - 10-15 Invariance, Optimality, and a 1-Observation Confidence Interval for a Normal Mean
by Stephen Portnoy - 16-21 On An Intriguing Distributional Identity
by M. C. Jones & Éric Marchand & William E. Strawderman - 22-31 Comparing Objective and Subjective Bayes Factors for the Two-Sample Comparison: The Classification Theorem in Action
by Mithat Gönen & Wesley O. Johnson & Yonggang Lu & Peter H. Westfall - 32-42 The Perils of Balance Testing in Experimental Design: Messy Analyses of Clean Data
by Diana C. Mutz & Robin Pemantle & Philip Pham - 43-49 Modified Wilcoxon–Mann–Whitney Test and Power Against Strong Null
by Youyi Fong & Ying Huang - 50-55 Enriching Students’ Conceptual Understanding of Confidence Intervals: An Interactive Trivia-Based Classroom Activity
by Xiaofei Wang & Nicholas G. Reich & Nicholas J. Horton - 56-60 Sum of a Random Number of Correlated Random Variables that Depend on the Number of Summands
by Joel E. Cohen - 61-69 Teaching Communication in a Statistical Collaboration Course: A Feasible, Project-Based, Multimodal Curriculum
by Mario A. Davidson & Charlene M. Dewey & Amy E. Fleming - 70-79 Simple Measures of Individual Cluster-Membership Certainty for Hard Partitional Clustering
by Dongmeng Liu & Jinko Graham - 80-88 An Examination of Discrepancies in Multiple Imputation Procedures Between SAS® and SPSS®
by Jianjun Wang & Dallas E. Johnson - 89-93 Phlegon's Stem-and-Leaf Display
by Spyros Missiakoulis - 94-104 blogdown: Creating Websites With R Markdown
by Megan D. Higgs & Xiaoke Zhang & Angelo Elmi & James M. Flegal & Jessica Utts & Sandra E. Safo & Craig A. Rolling & Michael J. Higgins & Jingyi Jessica Li - 105-105 Letter to the Editor
by M.C. Jones - 106-108 Editorial Collaborators
by The Editors
October 2018, Volume 72, Issue 4
- 303-308 Bayesian Inference for Kendall’s Rank Correlation Coefficient
by Johnny van Doorn & Alexander Ly & Maarten Marsman & Eric-Jan Wagenmakers - 309-314 Optimal Whitening and Decorrelation
by Agnan Kessy & Alex Lewin & Korbinian Strimmer - 315-320 A “Paradox” in Confidence Interval Construction Using Sufficient Statistics
by Weizhen Wang - 321-327 A Survey of Reporting Practices of Computer Simulation Studies in Statistical Research
by Michael Harwell & Nidhi Kohli & Yadira Peralta-Torres - 328-343 A Simple and Effective Inequality Measure
by Luke A. Prendergast & Robert G. Staudte - 344-347 On Mixture Alternatives and Wilcoxon’s Signed-Rank Test
by Jonathan D. Rosenblatt & Yoav Benjamini - 348-353 An Improved Boxplot for Univariate Data
by M. L. Walker & Y. H. Dovoedo & S. Chakraborti & C. W. Hilton - 354-358 An Innovative Classroom Approach for Developing Critical Thinkers in the Introductory Statistics Course
by Sherri Cheng & Mark Ferris & Jessica Perolio - 359-367 Teaching Ethics in a Statistics Curriculum with a Cross-Cultural Emphasis
by Alan C. Elliott & S. Lynne Stokes & Jing Cao - 368-375 A Bayesian Survival Analysis of a Historical Dataset: How Long Do Popes Live?
by Julian Stander & Luciana Dalla Valle & Mario Cortina-Borja - 376-378 Taylor's Law Holds for Finite OEIS Integer Sequences and Binomial Coefficients
by Simon Demers - 379-381 Model Selection and Regression -Statistics
by DeWayne Derryberry & Ken Aho & John Edwards & Teri Peterson - 382-391 A Guide to Teaching Data Science
by Stephanie C. Hicks & Rafael A. Irizarry - 392-393 Comment on Knaeble and Dutter (2017)
by Ronald Christensen - 394-394 Corrigenda
by The Editors
July 2018, Volume 72, Issue 3
- 213-218 Minimum Volume Confidence Sets for Two-Parameter Exponential Distributions
by Jin Zhang - 219-238 Testing for Serial Independence: Beyond the Portmanteau Approach
by Luca Bagnato & Lucio De Capitani & Antonio Punzo - 239-252 Structural Equation Models for Dealing With Spatial Confounding
by Hauke Thaden & Thomas Kneib - 253-264 Predicting Home Run Production in Major League Baseball Using a Bayesian Semiparametric Model
by Gilbert W. Fellingham & Jared D. Fisher - 265-277 The Landscape of Causal Inference: Perspective From Citation Network Analysis
by Weihua An & Ying Ding - 278-286 The Wilcoxon–Mann–Whitney Procedure Fails as a Test of Medians
by George W. Divine & H. James Norton & Anna E. Barón & Elizabeth Juarez-Colunga - 287-288 A Simple Probabilistic Proof for the Alternating Convolution of the Central Binomial Coefficients
by Ashok Kumar Pathak - 289-294 Guns and Suicides
by Daniel Cerqueira & Danilo Coelho & Marcelo Fernandes & Jony Pinto Junior - 295-299 Reviews of Books and Teaching Materials
by The Editors - 300-301 Some Complementary History and Results
by Olivier J. M. Guilbaud - 302-302 Comment on “What Do Interpolated Nonparametric Confidence Intervals for Population Quantiles Guarantee?”, Frey and Zhang (2017)
by Alan Hutson
April 2018, Volume 72, Issue 2
- 121-129 A Cautionary Note on Beta Families of Distributions and the Aliases Within
by Alan D. Hutson & Albert Vexler - 130-139 Simulation of Constrained Variables in Engineering Risk Analyses
by Sashi Kanth Tadinada & Abhinav Gupta - 140-146 A Note on Collinearity Diagnostics and Centering
by Santiago Velilla - 147-154 On Teaching Statistical Practice: From Novice to Expert
by Joel B. Greenhouse & Howard J. Seltman - 155-157 A Note on “Shaved Dice” Inference
by Rolf Sundberg - 158-162 Visualizing Type II Error in Normality Tests
by José A. Sánchez-Espigares & Pere Grima & Lluís Marco-Almagro - 163-168 Regression Using Pairs vs. Regression on Differences: A Real-life Case Study for a Master's Level Methods Class
by Daniel R. Jeske & Janet M. Myhre - 169-171 An Expression for Fast Computation of Sample Central Moments
by Saralees Nadarajah & Rui Li - 172-174 On the Gaussian Mixture Representation of the Laplace Distribution
by Peng Ding & Joseph K. Blitzstein - 175-183 The Tale of Cochran's Rule: My Contingency Table has so Many Expected Values Smaller than 5, What Am I to Do?
by P. M. Kroonenberg & Albert Verbeek - 184-190 Estimating Desired Sample Size for Simple Random Sampling of a Skewed Population
by Timothy G. Gregoire & David L. R. Affleck - 191-198 A New Lens on High School Dropout: Use of Correspondence Analysis and the Statewide Longitudinal Data System
by Kathryn Schaefer Ziemer & Bianica Pires & Vicki Lancaster & Sallie Keller & Mark Orr & Stephanie Shipp - 199-205 Facilitating the Calculation of the Efficient Score Using Symbolic Computing
by Alexander B. Sibley & Zhiguo Li & Yu Jiang & Yi-Ju Li & Cliburn Chan & Andrew Allen & Kouros Owzar - 206-212 Reviews of Books and Teaching Materials
by The Editors
January 2018, Volume 72, Issue 1
- 1-1 Introduction: Special Issue on Data Science
by Hadley Wickham & Jennifer Bryan & Nicole Lazar - 2-10 Data Organization in Spreadsheets
by Karl W. Broman & Kara H. Woo - 11-19 Documenting and Evaluating Data Science Contributions in Academic Promotion in Departments of Statistics and Biostatistics
by Lance A. Waller - 20-27 Excuse Me, Do You Have a Moment to Talk About Version Control?
by Jennifer Bryan - 28-36 Extending R with C++: A Brief Introduction to Rcpp
by Dirk Eddelbuettel & James Joseph Balamuta - 37-45 Forecasting at Scale
by Sean J. Taylor & Benjamin Letham - 46-52 How R Helps Airbnb Make the Most of its Data
by Ricardo Bion & Robert Chang & Jason Goodman - 53-57 How to Share Data for Collaboration
by Shannon E. Ellis & Jeffrey T. Leek - 58-65 Infrastructure and Tools for Teaching Computing Throughout the Statistical Curriculum
by Mine Çetinkaya-Rundel & Colin Rundel - 66-71 Lessons From Between the White Lines for Isolated Data Scientists
by Benjamin S. Baumer - 72-79 Modeling Offensive Player Movement in Professional Basketball
by Steven Wu & Luke Bornn - 80-88 Packaging Data Analytical Work Reproducibly Using R (and Friends)
by Ben Marwick & Carl Boettiger & Lincoln Mullen - 89-96 Teaching Stats for Data Science
by Daniel Kaplan - 97-104 Wrangling Categorical Data in R
by Amelia McNamara & Nicholas J. Horton - 105-113 Reviews of Books and Teaching Materials
by The Editors - 114-117 Comment on “A Note on Collinearity Diagnostics and Centering” by Velilla (2018)
by Ronald Christensen - 117-119 Reply
by Santiago Velilla
October 2017, Volume 71, Issue 4
- 1-1 Editorial Board EOV
by The Editors - 291-297 A Note on High-Dimensional Linear Regression With Interactions
by Ning Hao & Hao Helen Zhang - 298-301 A Note on Priors for the Multinomial Model
by Frank Tuyl - 302-304 A Simple Analysis of the Exact Probability Matching Prior in the Location-Scale Model
by Thomas J. DiCiccio & Todd A. Kuffner & G. Alastair Young - 305-309 What Do Interpolated Nonparametric Confidence Intervals for Population Quantiles Guarantee?
by Jesse Frey & Yimin Zhang - 310-316 A Coefficient of Determination for Generalized Linear Models
by Dabao Zhang - 317-325 Excel Templates: A Helpful Tool for Teaching Statistics
by Alejandro Quintela-del-Río & Mario Francisco-Fernández - 326-335 Introductory Statistics Textbooks and the GAISE Recommendations
by Peter K. Dunn & Michael D. Carey & Michael B. Farrar & Alice M. Richardson & Christine McDonald - 336-343 Teaching Decision Theory Proof Strategies Using a Crowdsourcing Problem
by Luís Gustavo Esteves & Rafael Izbicki & Rafael Bassi Stern - 344-353 A Comparison of Correlation Structure Selection Penalties for Generalized Estimating Equations
by Philip M. Westgate & Woodrow W. Burchett - 354-368 Mean-Minimum Exact Confidence Intervals
by Joseph B. Lang - 369-372 Reviews of Books and Teaching Materials
by The Editors - 373-375 Comment on “The Target Parameter of Adjusted R-Squared in Fixed-Design Experiments” by Bar-Gera (2017)
by Ronald Christensen - 376-377 Editorial Collaborators
by The Editors
July 2017, Volume 71, Issue 3
- 191-201 A Note on the Inverse Birthday Problem With Applications
by Wen-Han Hwang & Richard Huggins & Lu-Fang Chen - 202-208 Sufficiency Revisited: Rethinking Statistical Algorithms in the Big Data Era
by Jarod Y. L. Lee & James J. Brown & Louise M. Ryan - 209-219 Statistical Engineering: An Idea Whose Time Has Come?
by Roger W. Hoerl & Ronald D. Snee - 220-230 Strategies for Success: Early-Stage Collaborating Biostatistics Faculty in an Academic Health Center
by Heidi Spratt & Erin E. Fox & Nawar Shara & Madhu Mazumdar - 231-235 All Data are Wrong, but Some are Useful? Advocating the Need for Data Auditing
by Sitsofe Tsagbey & Miguel de Carvalho & Garritt L. Page - 236-241 On the Use of the Concentration Function in Medical Fraud Assessment
by Tahir Ekin & Francesca Ieva & Fabrizio Ruggeri & Refik Soyer - 242-248 Coherent Hypothesis Testing
by Victor Fossaluza & Rafael Izbicki & Gustavo Miranda da Silva & Luís Gustavo Esteves - 249-258 Resolving a Multi-Million Dollar Contract Dispute With a Latin Square
by William B. Fairley & Peter J. Kempthorne & Julie Novak & Scott McGarvie & Steve Crunk & Bee Leng Lee & Alan J. Salzberg - 259-264 Bayes and MCMC for Undergraduates
by Jeff Witmer - 265-271 Convergence of Known Distributions to Limiting Normal or Non-normal Distributions: An Elementary Ratio Technique
by Subhash Bagui & K. L. Mehra - 272-274 A Useful Pivotal Quantity
by Panagiotis (Panos) Toulis - 275-281 Comparing Two Tests for Two Rates
by Chunpeng Fan & Lin Wang & Lynn Wei - 282-289 Reviews of Books and Teaching Materials
by The Editors
April 2017, Volume 71, Issue 2
- 97-105 Reversals of Least-Square Estimates and Model-Invariant Estimation for Directions of Unique Effects
by Brian Knaeble & Seth Dutter - 106-111 Approximate Bayesianity of Frequentist Confidence Intervals for a Binomial Proportion
by Shaobo Jin & Måns Thulin & Rolf Larsson - 112-119 The Target Parameter of Adjusted R-Squared in Fixed-Design Experiments
by Hillel Bar-Gera - 120-122 Wallet Game: Probability, Likelihood, and Extended Likelihood
by Yudi Pawitan & Youngjo Lee - 123-127 Multivariate Chebyshev Inequality With Estimated Mean and Variance
by Bartolomeo Stellato & Bart P. G. Van Parys & Paul J. Goulart - 128-136 A Statistical Inference Course Based on -Values
by Ryan Martin - 137-144 A Bayesian Analysis of Synchronous Distance Learning versus Matched Traditional Control in Graduate Biostatistics Courses
by Jo A. Wick & Hung-Wen Yeh & Byron J. Gajewski - 145-147 Explaining Normal Quantile-Quantile Plots Through Animation: The Water-Filling Analogy
by Robert A. Stine - 148-154 The Quality of Pitches in Major League Baseball
by Philippa Swartz & Mike Grosskopf & Derek Bingham & Tim B. Swartz - 155-161 The Current Landscape of Teaching Analytics to Business Students at Institutions of Higher Education: Who is Teaching What?
by Amy L. Phelps & Kathryn A. Szabat - 162-170 An Empirical Comparison of Multiple Imputation Methods for Categorical Data
by Olanrewaju Akande & Fan Li & Jerome Reiter - 171-176 Efficient Computation of Reduced Regression Models
by Stuart R. Lipsitz & Garrett M. Fitzmaurice & Debajyoti Sinha & Nathanael Hevelone & Edward Giovannucci & Quoc-Dien Trinh & Jim C. Hu - 177-181 Closed-Form Estimators for the Gamma Distribution Derived From Likelihood Equations
by Zhi-Sheng Ye & Nan Chen - 182-186 Reviews of Books and Teaching Materials
by The Editors - 187-187 Non-Asymptotic Mean and Variance Also Approximately Satisfy Taylor's Law
by Michael P. Cohen - 187-190 Models for count data
by Iain L. MacDonald - 190-190 Reply
by Kimberly F. Sellers & Darcy S. Morris & Galit Shmueli & Li Zhu
January 2017, Volume 71, Issue 1
- 1-2 What is Mentoring?
by Aarti Shah - 3-4 Mentoring in the ASA: A Commentary
by David Morganstein - 5-5 Mentoring in the ASA: A Rejoinder
by Mary Kwasny - 6-14 Statistical Mentoring at Early Training and Career Stages
by Christine M. Anderson-Cook & Michael S. Hamada & Leslie M. Moore & Joanne R. Wendelberger - 15-22 The Big Tent for Statistics: Mentoring Required
by Eric A. Vance & Donna E. LaLonde & Lin Zhang - 23-29 An Eight-Step Guide to Creating and Sustaining a Mentoring Program
by Eric A. Vance & Erin Tanenbaum & Amarjot Kaur & Mark C. Otto & Richard Morris - 30-33 Building Bridges: The Role of an Undergraduate Mentor
by Mark Daniel Ward - 34-37 Re-Defining the , and of Mentoring for Professional Statisticians
by Lauren Vollmer & Aparna Keshaviah & Dmitriy Poznyak & Sharon Zhao & Fei Xing & Nicholas Beyler - 38-46 Developing a Career in the Practice of Statistics: The Mentor's Perspective
by Kim Love & Eric A. Vance & Frank E. Harrell, & Dallas E. Johnson & Michael H. Kutner & Ronald D. Snee & Doug Zahn - 47-54 Mentoring Faculty Women in Statistics: Exploring Challenges and Opportunities for Leadership Development
by Amanda L. Golbeck - 55-60 Mentoring to Achieve Diversity in Graduate Programs
by Jacqueline M. Hughes-Oliver - 61-66 Experience Simpson's Paradox in the Classroom
by Jiangtao Gou & Fengqing (Zoe) Zhang - 67-70 An Intuitive Geometric Approach to the Gauss Markov Theorem
by Leandro da Silva Pereira & Lucas Monteiro Chaves & Devanil Jaques de Souza - 71-80 Bridging the Gap: A Generalized Stochastic Process for Count Data
by Li Zhu & Kimberly F. Sellers & Darcy Steeg Morris & Galit Shmueli - 81-87 Point Estimates of Test Sensitivity and Specificity from Sample Means and Variances
by Richard G. Spencer & Benjamin D. Cortese & Vanessa A. Lukas & Nancy Pleshko - 88-89 Response to the ASA’s Statement on -Values: Context, Process, and Purpose
by Edward L. Ionides & Alexander Giessing & Yaacov Ritov & Scott E. Page - 89-90 Letter to the Editor: Average Entropy Does Not Measure Uncertainty
by Susan E. Hodge - 91-91 Response to "Average Entropy Does Not Measure Uncertainty"
by Omar A. Kittaneh - 92-96 Reviews of Books and Teaching Materials
by Reza Ramezan
October 2016, Volume 70, Issue 4
- 1-1 Editorial Board EOV
by The Editors - 325-334 Assessing Equality of Means Using the Overlap of Range-Preserving Confidence Intervals
by Kimihiro Noguchi & Fernando Marmolejo-Ramos - 335-341 How the Maximal Evidence of -Values Against Point Null Hypotheses Depends on Sample Size
by Leonhard Held & Manuela Ott - 342-349 Improving the Big East Conference Basketball Tournament
by Christopher Abdul-Chani & Jesse Frey - 350-357 Understanding the Ensemble Kalman Filter
by Matthias Katzfuss & Jonathan R. Stroud & Christopher K. Wikle - 358-364 Bias Introduced by Rounding in Multiple Imputation for Ordered Categorical Variables
by Yan Xia & Yanyun Yang - 365-372 Interval Estimation for the “Net Promoter Score”
by Brendan Rocks - 373-384 How Robust Are Multirater Interrater Reliability Indices to Changes in Frequency Distribution?
by David Quarfoot & Richard A. Levine - 385-394 Weighing Evidence “Steampunk” Style via the Meta-Analyser
by Jack Bowden & Chris Jackson - 395-398 Computation of Two- and Three-Dimensional Confidence Regions With the Likelihood Ratio
by Adam Jaeger - 399-404 Statistics of Primes (and Probably Twin Primes) Satisfy Taylor's Law from Ecology
by Joel E. Cohen - 405-412 Meeting Student Needs for Multivariate Data Analysis: A Case Study in Teaching an Undergraduate Multivariate Data Analysis Course
by Amy Wagaman - 413-423 Sojourning With the Homogeneous Poisson Process
by Piaomu Liu & Edsel A. Peña - 424-433 Reviews of Books and Teaching Materials
by The Editors - 434-434 Letter to the Editor
by Lawrence M. Lesser - 435-437 Editorial Collaborators
by The Editors
July 2016, Volume 70, Issue 3
- 227-231 On Galton's Change From “Reversion” to “Regression”
by Prakash Gorroochurn - 232-242 A Unified Approach to Authorship Attribution and Verification
by Xavier Puig & Martí Font & Josep Ginebra - 243-249 Data-Driven Confidence Interval Estimation Incorporating Prior Information with an Adjustment for Skewed Data
by Albert Vexler & Li Zou & Alan D. Hutson - 250-256 Calibrated Bayes Factors in Assessing Genetic Association Models
by J. G. Liao & Duanping Liao & Arthur Berg - 257-259 The Class Joke Contest: Encouraging Creativity and Improving Attendance
by John C. Wierman - 260-269 Teaching and Learning Data Visualization: Ideas and Assignments
by Deborah Nolan & Jamis Perrett - 270-274 Mean, What do You Mean?
by Miguel de Carvalho - 275-284 The Number of MCMC Draws Needed to Compute Bayesian Credible Bounds
by Jia Liu & Daniel J. Nordman & William Q. Meeker - 285-292 Case Study in Evaluating Time Series Prediction Models Using the Relative Mean Absolute Error
by Nicholas G. Reich & Justin Lessler & Krzysztof Sakrejda & Stephen A. Lauer & Sopon Iamsirithaworn & Derek A. T. Cummings - 293-295 On the Conditional Distribution of the Multivariate Distribution
by Peng Ding - 296-303 Visualizing Count Data Regressions Using Rootograms
by Christian Kleiber & Achim Zeileis - 304-312 Visualizing Mean, Median, Mean Deviation, and Standard Deviation of a Set of Numbers
by Jyotirmoy Sarkar & Mamunur Rashid - 313-322 Reviews of Books and Teaching Materials
by The Editors - 323-323 Corrigendum
by Ben O'Neill
May 2016, Volume 70, Issue 2
- 129-133 The ASA's Statement on p -Values: Context, Process, and Purpose
by Ronald L. Wasserstein & Nicole A. Lazar - 134-137 Confidence Intervals for the Scale Parameter of Exponential Family of Distributions
by Hossein Hoshyarmanesh & Amirhossein Karami & Adel Mohammadpour - 138-142 Explaining the Importance of Variability to Engineering Students
by Pere Grima & Lourdes Rodero & Xavier Tort-Martorell - 143-148 A Note on the Relationship Between the Phi Coefficient and the Tetrachoric Correlation Under Nonnormal Underlying Distributions
by Hakan Demirtas - 149-151 Training the Next Generation of Statisticians: From Head to Heart
by Henry S. Lynn - 152-165 A Statistical Approach to Crime Linkage
by Michael D. Porter - 166-170 Analogies for Helping Clinicians and Investigators Better Understand the Principles and Practice of Biostatistics
by Martin L. Lesser & Meredith B. Akerman & Nina Kohn - 171-180 Simple Estimation Intervals for Poisson, Exponential, and Inverse Gaussian Means Obtained by Symmetrizing the Likelihood Function
by Eloísa Díaz-Francés - 181-186 Statistical Modeling to Inform Optimal Game Strategy: Markov Plays H-O-R-S-E
by Thaddeus Tarpey & R. Todd Ogden - 187-194 Best Practices for Biostatistical Consultation and Collaboration in Academic Health Centers
by 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 & Mimi Kim - 195-201 A Simple Two-Sample Bayesian t -Test for Hypothesis Testing
by Min Wang & Guangying Liu - 202-214 Variations of Q -- Q Plots: The Power of Our Eyes!
by Adam Loy & Lendie Follett & Heike Hofmann