# International Statistical Institute

# International Statistical Review

Phone: 31-70-3375737

Fax: 31-70-3860025

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**Current editor:**Eugene Seneta

**Current editor:**Kees Zeelenberg

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**Series handle:**repec:bla:istatr

**ISSN:**0306-7734

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### 2016, Volume 84, Issue 2

**165-178 Enhancing Statistics Education by Including Qualitative Research***by*Irena Ograjenšek & Iddo Gal**179-181 Discussion: Making Progress in a Crowded Market***by*Nicholas Jon Horton**181-189 Discussion: The Q-q Dynamic for Deeper Learning and Research***by*Xiao-Li Meng**189-194 Discussion: Acquiring Statistical Literacy and Thinking***by*Jock MacKay**194-202 Discussion: Locating Statistics in the World of Finding Out***by*Chris J. Wild**202-209 Rejoinder: More on Enhancing Statistics Education with Qualitative Ideas***by*Iddo Gal & Irena Ograjenšek**210-223 A Conversation with Katherine K. Wallman***by*Constance F. Citro**224-244 On a Problem of Robbins***by*Jiaying Gu & Roger Koenker**245-266 Standardization of Variables and Collinearity Diagnostic in Ridge Regression***by*José García & Román Salmerón & Catalina García & María del Mar López Martín**267-290 Stable Asymptotics for M-estimators***by*Davide La Vecchia**291-316 Adaptive Estimation of a Conditional Density***by*Ann-Kathrin Bott & Michael Kohler**317-318 Multivariate Statistics: Exercises and Solutions***by*Krzysztof Podgórski**318-319 Nonparametric Estimation under Shape Constraints: Estimators, Algorithms and Asymptotics***by*Carl M. O'Brien**319-320 Data Analysis with Competing Risks and Intermediate States***by*Carl M. O'Brien**320-321 Dynamical Biostatistical Models***by*Alice M. Richardson**321-322 Modern Adaptive Randomized Clinical Trials: Statistical and Practical Aspects***by*Lili Zhao**322-323 Missing Data Analysis in Practice***by*John H. Maindonald**323-324 STATA for the Behavioral Sciences***by*Gijs Dekkers**324-325 Graphical Data Analysis with R***by*Reijo Sund

### 2016, Volume 84, Issue 1

**1-1 Nalini Ravishanker joins Raymond Chambers as co-Editor-in-Chief of the International Statistical Review***by*Raymond Chambers**2-25 A Conversation with Jack Kalbfleisch and Jerry Lawless***by*Chris J. Wild**26-42 On Invariant Post-randomization for Statistical Disclosure Control***by*Tapan K. Nayak & Samson A. Adeshiyan**43-62 Alternative Indicators for the Risk of Non-response Bias: A Simulation Study***by*Raphael Nishimura & James Wagner & Michael Elliott**63-78 Treatment and Control Groups in a Dynamic Setting***by*Götz Rohwer**79-98 Calibration Weighting Methods for Complex Surveys***by*Changbao Wu & Wilson W. Lu**99-127 Reliable Robust Regression Diagnostics***by*Silvia Salini & Andrea Cerioli & Fabrizio Laurini & Marco Riani**128-154 A Review of Modern Computational Algorithms for Bayesian Optimal Design***by*Elizabeth G. Ryan & Christopher C. Drovandi & James M. McGree & Anthony N. Pettitt**155-156 Genomic Clinical Trials and Predictive Medicine***by*Matthew Schipper**156-157 Statistical Learning with Sparsity: The Lasso and Generalizations***by*Carl M. O'Brien**157-158 Bayesian Nonparametric Data Analysis***by*Diego Andres Perez Ruiz**158-159 Current Trends in Bayesian Methodology with Applications***by*Lili Zhao**159-159 Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction***by*Carol Joyce Blumberg**161-162 John Napier: Life, Logarithms and Legacy***by*David Bellhouse**162-163 Analysis of Categorical Data with R***by*Shuangzhe Liu**163-164 Meta-Analysis: A Structural Equation Modeling Approach***by*Reijo Sund**159-161 Bayesian and Frequentist Regression Methods***by*Sanjib Basu

### 2015, Volume 83, Issue 3

**339-356 A Conversation with John C. Gower***by*David R. Cox**357-370 The Development of Statistical Computing at Rothamsted***by*John C. Gower**371-404 An Interview with Jae C. Lee***by*Nicholas I. Fisher & Willem R. Zwet**405-435 Approximate Bayesian Computation for a Class of Time Series Models***by*Ajay Jasra**436-448 Big Data, Official Statistics and Some Initiatives by the Australian Bureau of Statistics***by*Siu-Ming Tam & Frederic Clarke**449-471 Coarsened Propensity Scores and Hybrid Estimators for Missing Data and Causal Inference***by*Jie Zhou & Zhiwei Zhang & Zhaohai Li & Jun Zhang**472-492 Using the Fraction of Missing Information to Identify Auxiliary Variables for Imputation Procedures via Proxy Pattern-mixture Models***by*Rebecca Andridge & Katherine Jenny Thompson**493-510 A Conditional Approach to Measure Mortality Reductions Due to Cancer Screening***by*Zhihui (Amy) Liu & James A. Hanley & Olli Saarela & Nandini Dendukuri**511-511 Computational Actuarial Science with R***by*Fabrizio Durante**512-513 Adaptive Design Theory and Implementation Using SAS and R, Second Edition***by*Thomas M. Braun**513-515 Case–Control Studies***by*Jaya M. Satagopan**515-516 Introduction to High-dimensional Statistics***by*G. Alastair Young**517-517 Growth Curve Modelling: Theory and Applications***by*Carl M. O'Brien**518-519 Introduction to Probability***by*Arindam Sengupta**519-520 Bayesian Methods for Management and Business–Pragmatic Solutions for Real Problems***by*Krzysztof Podgorski**520-522 Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research***by*Teresa Neeman**511-512 An Introduction to STATA for Health Researchers***by*Melissa Plegue

### 2015, Volume 83, Issue 2

**175-192 On Families of Distributions with Shape Parameters***by*M. C. Jones**193-197 Discussions***by*Toshihiro Abe**198-202 Discussion***by*Adelchi Azzalini & Marc G. Genton**202-207 Discussion***by*Christophe Ley & Davy Paindaveine**207-211 Discussion***by*Yanyuan Ma**211-217 Discussion***by*Arthur Pewsey**218-222 Discussion***by*Mark F. J. Steel & Francisco J. Rubio**223-227 Rejoinder***by*M. C. Jones**228-238 Assessing Variability of Complex Descriptive Statistics in Monte Carlo Studies Using Resampling Methods***by*Dennis D. Boos & Jason A. Osborne**239-262 Finding Bayesian Optimal Designs for Nonlinear Models: A Semidefinite Programming-Based Approach***by*Belmiro P. M. Duarte & Weng Kee Wong**263-292 Extreme Value Theory and Statistics of Univariate Extremes: A Review***by*M. Ivette Gomes & Armelle Guillou**293-308 On Some Principles of Statistical Inference***by*Nancy Reid & David R. Cox**309-323 On Pooling of Data and Its Relative Efficiency***by*Jinfeng Xu & Anthony Kuk**324-325 Multistate Analysis of Life Histories with R***by*Reijo Sund**325-326 A Step-by-Step Approach to Using SAS-super-® for Factor Analysis and Structural Equation Modelling, Second Edition***by*Andreas Rosenblad**326-327 Multiple Imputation of Missing Data Using SAS***by*Purna Mukhopadhyay**327-329 John Napier: Life, Logarithms, and Legacy***by*Jorma K. Merikoski**329-331 Sampling Elusive Populations: Applications to Studies of Child Labour***by*Farhad Mehran**331-332 Bayesian Analysis with Stata***by*Joseph M. Hilbe**332-334 Past, Present, and Future of Statistical Science***by*John H. Maindonald**334-335 Mixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools***by*Carl M. O'Brien**335-336 Age–Period–Cohort Models: Approaches and Analyses with Aggregate Data***by*P. G. Sankaran**337-337 Generalised Linear Models for Categorical and Continuous Limited Dependent Variables***by*Tapio Nummi

### 2015, Volume 83, Issue 1

**1-1 New Co-Editor-in-Chief of the International Statistical Review***by*Victor Perez-Abreu**2-16 A Conversation with Jean-Louis Bodin***by*Gilbert Saporta**17-35 Ladislaus von Bortkiewicz—Statistician, Economist and a European Intellectual***by*Wolfgang Karl Härdle & Annette B. Vogt**36-64 Varying Coefficient Regression Models: A Review and New Developments***by*Byeong U. Park & Enno Mammen & Young K. Lee & Eun Ryung Lee**65-68 Discussion***by*Jianqing Fan & Wenyang Zhang**68-70 Discussion***by*Toshio Honda**70-72 Discussion***by*Jianhua Z. Huang & Ya Su**72-76 Rejoinder***by*Byeong U. Park & Enno Mammen & Young K. Lee & Eun Ryung Lee**77-110 Statistical Approaches for Non-parametric Frontier Models: A Guided Tour***by*Léopold Simar & Paul W. Wilson**111-134 Statistical Issues in Assessing Forensic Evidence***by*Karen Kafadar**135-159 Applications of Statistics in the Field of General Insurance: An Overview***by*Yves L. Grize**160-161 Bayesian Phylogenetics: Methods, Algorithms and Applications***by*Bret Larget**161-163 Biostatistics Decoded***by*Brenda Gunderson**163-164 Nonparametric Statistics: A Step-by-Step Approach***by*Alice M. Richardson**164-164 Circular Statistics in R***by*Shuangzhe Liu**165-165 Displaying Time Series, Spatial and Space-Time Data with R***by*Krzysztof Podgorski**167-168 Statistical Methods for Survival Data Analysis***by*Brenda W. Gillespie**168-169 Sample Size Determination and Power***by*Hyungjin Myra Kim**169-171 Analysis of Multivariate and High-Dimensional Data***by*Ravindra Khattree**171-172 Statistical Analysis of Network Data with R***by*Klaus Nordhausen**172-173 Statistical Methods for Ranking Data***by*Mariano Ruiz Espejo**173-174 Statistical Studies of Income, Poverty and Inequality in Europe: Computing and Graphics in R Using EU-SILC***by*Mariano Ruiz Espejo**174-174 Statistical Theory and Inference***by*Mariano Ruiz Espejo**165-167 A Chronicle of Permutation Statistical Methods: 1920–2000, and Beyond***by*Andreas Rosenblad

### 2014, Volume 82, Issue 3

**329-348 Fifty Years of Classification and Regression Trees***by*Wei-Yin Loh**349-352 Discussion***by*Carolin Strobl**352-357 Discussion***by*Antonio Ciampi**357-359 Discussion***by*Hongshik Ahn**359-361 Discussion***by*Chi Song & Heping Zhang**361-367 Discussion***by*Thomas Rusch & Achim Zeileis**367-370 Rejoinder***by*Wei-Yin Loh**371-391 Disclosure-protected Inference Using Generalised Linear Models***by*James O. Chipperfield & Christine M. O'Keefe**392-410 Combining Probability Distributions by Multiplication in Metrology: A Viable Method?***by*Dieter Grientschnig & Ignacio Lira**411-421 The Deviance Information Criterion in Comparison of Normal Mixing Models***by*Thomas Fung & Joanna J.J. Wang & Eugene Seneta**422-439 Akaike's Information Criterion, C p and Estimators of Loss for Elliptically Symmetric Distributions***by*Aurélie Boisbunon & Stéphane Canu & Dominique Fourdrinier & William Strawderman & Martin T. Wells**440-456 Local Powers of Optimal One-sample and Multi-sample Tests for the Concentration of Fisher-von Mises-Langevin Distributions***by*Christophe Ley & Thomas Verdebout**457-476 Small-scale Inference: Empirical Bayes and Confidence Methods for as Few as a Single Comparison***by*David R. Bickel**477-478 Computational Approaches to Studying the Co-evolution of Networks and Behavior in Social Dilemmas by Rense Corten***by*Carl M. O'Brien**478-478 Optimal Mixture Experiments by Bikas Kumar Sinha, Nripes Kumar Mandal, Manisha Pal, Premadhis Das***by*Norman R. Draper**479-480 Statistics in Action: A Canadian Outlook by Jerald F. Lawless***by*Norman R. Draper**480-481 Clinical Trials with Missing Data: A Guide for Practitioners by Michael O'Kelly and Bohdana Ratitch***by*Purna Mukhopadhyay**481-483 Stochastic Modeling and Mathematical Statistics by Francisco J. Samaniego***by*Moulinath Banerjee**483-483 The Skew-Normal and Related Families by Adelchi Azzalini***by*Fabrizio Durante**485-486 Incomplete Categorical Data Design: Non-Randomized Response Techniques for Sensitive Questions in Surveys by Guo-Liang Tian and Man-Lai Tang***by*Peter Linde**486-487 Functional and Phylogenetic Ecology in R by Nathan G. Swenson***by*Carl M. O'Brien**487-488 Statistical Applications for Environmental Analysis and Risk Assessment by Joseph Ofungwu***by*Carl M. O'Brien**488-490 Bayesian Essentials with R by Jean-Michel Marin and Christian P. Robert***by*Sounak Chakraborty**483-485 Examples and Problems in Mathematical Statistics by Shelemyahu Zacks***by*Jorma K. Merikoski**478-479 Genomic Clinical Trials and Predictive Medicine by Richard M. Simon***by*Thomas M. Braun

### 2014, Volume 82, Issue 2

**161-183 A Conversation with James O. Ramsay***by*Christian Genest & Johanna G. Nešlehová**184-204 A Cognitive Interpretation of Data Analysis***by*Garrett Grolemund & Hadley Wickham**205-207 Discussion***by*Peter J. Huber**208-210 Discussion***by*Leland Wilkinson**210-213 Rejoinder***by*Garrett Grolemund & Hadley Wickham**214-242 Combining Statistical Evidence***by*Elena Kulinskaya & Stephan Morgenthaler & Robert G. Staudte**243-274 A Review and Comparison of Bandwidth Selection Methods for Kernel Regression***by*Max Köhler & Anja Schindler & Stefan Sperlich**275-295 A Unifying Framework for Marginalised Random-Intercept Models of Correlated Binary Outcomes***by*Bruce J. Swihart & Brian S. Caffo & Ciprian M. Crainiceanu**296-308 Numerical Maximisation of Likelihood: A Neglected Alternative to EM?***by*Iain L. MacDonald**309-309 Matrix Algebra for Linear Models by Martin H. J. Gruber***by*Norman R. Draper**312-312 Introduction to Statistical Methods for Biosurveillance by Ronald D. Fricker***by*Mariano Ruiz Espejo**313-315 Analyzing Baseball Data with R by Max Marchi, Jim Albert***by*Ben S. Baumer**315-317 Linear Mixed-Effects Models Using R by Andrzej Galecki, Tomasz Burzykowski***by*John H. Maindonald**317-318 Statistical Robust Design: An Industrial Perspective by Magnus Arner***by*Norman R. Draper**318-319 Statistical Modeling and Computation by Dirk P. Kroese, Joshua C. C. Chan***by*Andreas Rosenblad**319-320 Causality: Statistical Perspectives and Applications by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli***by*Jason Roy**320-322 Quantile Regression: Theory and Applications by Cristina Davino, Marilena Furno, Domenico Vistocco***by*Gijs Dekkers**322-323 Applied Time Series Analysis by Wayne A. Woodward, Henry L. Gray, Alan C. Elliott***by*Arindam Sengupta**324-324 Statistical Analysis of Panel Count Data by Jianguo Sun, Xingqiu Zhao***by*Xin He**325-325 Learning Regression Analysis by Simulation by Kunio Takezawa***by*Purna Mukhopadhyay**326-326 A Concise Guide to Statistics by Hans-Michael Kaltenbach***by*Alice Richardson**327-327 Statistics and Probability Theory: In Pursuit of Engineering Decision Support by Michael Havbro Faber***by*Stephen B. Vardeman**312-313 Bayesian Methods in Epidemiology by Lyle D. Broemeling***by*Lili Zhao**309-311 Randomized Phase II Cancer Clinical Trials by Sin-Ho Jung***by*KyungMann Kim

### 2014, Volume 82, Issue 1

**1-16 Soft Questions, Hard Answers: Jacob Bernoulli's Probability in Historical Context***by*Stephen Stigler**17-26 On the Bicentenary in St. Petersburg of Jacob Bernoulli's Theorem***by*Eugene Seneta**27-45 Tercentenary of Ars Conjectandi (1713): Jacob Bernoulli and the Founding of Mathematical Probability***by*Edith Dudley Sylla**46-70 A Brief Survey of Modern Optimization for Statisticians***by*Kenneth Lange & Eric C. Chi & Hua Zhou**71-75 Discussion***by*Yves Atchade & George Michailidis**76-79 Discussion***by*David R. Hunter**79-81 Discussion***by*Christian P. Robert**81-89 Rejoinder***by*Kenneth Lange & Eric C. Chi & Hua Zhou**90-105 Multiple Local Maxima in Restricted Likelihoods and Posterior Distributions for Mixed Linear Models***by*Lisa Henn & James S. Hodges**106-122 Non-parametric Analysis of Gap Times for Multiple Event Data: An Overview***by*Hong Zhu**123-140 Asymptotics for Autocovariances and Integrated Periodograms for Linear Processes Observed at Lower Frequencies***by*Tobias Niebuhr & Jens-Peter Kreiss**141-142 Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming by Barbara M. Byrne***by*Kimmo Vehkalahti**142-143 An Introduction to Analysis of Financial Data with R by Ruey S. Tsay***by*Matias Leppisaari**143-144 Combinatorial Matrix Theory and Generalized Inverses of Matrices by Ravindra B. Bapat, Steve J. Kirkland, K. Manjunatha Prasad, Simo Puntanen***by*Shuangzhe Liu**144-145 Log-linear Modeling: Concepts, Interpretation, and Application by Alexander von Eye, Eun-Young Mun***by*Erkki P. Liski**145-146 The R Book, Second Edition by Michael J. Crawley***by*Fabrizio Durante**146-147 Advanced Risk Analysis in Engineering Enterprise Systems by Cesar Ariel Pinto, Paul R. Garvey***by*Fabrizio Durante**147-148 Behavioral Research Data Analysis with R by Yuelin Li, Jonathan Baron***by*John H. Maindonald**148-148 A First Course in Probability and Markov Chains by Giuseppe Modica, Laura Poggiolini***by*John H. Maindonald**149-149 An Introduction to Exotic Option Pricing by Peter Buchen***by*Osmo Jauri**150-150 Latent Markov Models for Longitudinal Data by Francesco Bartolucci, Alessio Farcomeni, Fulvia Pennoni***by*Seppo Pynnönen**151-152 Multiple Imputation and its Application by James R. Carpenter, Michael G. Kenward***by*Klaus Nordhausen**152-153 Applied Categorical and Count Data Analysis by Wan Tang, Hua He, Xin M. Tu***by*Tapio Nummi**153-154 Advances in Machine Learning and Data Mining for Astronomy edited by Michael J. Way, Jeffrey D. Scargle, Kamal M. Ali, and Ashok N. Srivstava***by*Krzysztof Podgorski**154-155 Exercises in Probability: A Guided Tour from Measure Theory to Random Processes,via Conditioning by Loïc Chaumont and Marc Yor***by*Krzysztof Podgorski**155-156 Inference for Functional Data with Applications by Lajos Horváth and Piotr Kokoszka***by*G. Alastair Young**156-156 A Tiny Handbook of R by Mike Allerhand***by*Arindam Sengupta**157-158 Handling Missing Data in Ranked Set Sampling R by Carlos N. Bouza-Herrera***by*Mariano Ruiz Espejo**158-159 A First Course in Machine Learning by Simon Rogers and Mark Girolami***by*Arindam Sengupta**156-157 An Introduction to Statistical Learning—with Applications in R by Gareth James, Daniela Witten, Trevor Hastie & Robert Tibshirani***by*Klaus Nordhausen**150-151 Current Topics in the Theory and Application of Latent Variable Models by Michael C. Edwards, Robert C. MacCallum (Editors)***by*Seppo Pynnönen**148-149 Formulas Useful for Linear Regression Analysis and Related Matrix Theory: It's Only Formulas But We Like Them by Simo Puntanen, George P. H. Styan, Jarkko Isotalo***by*Shuangzhe Liu

### 2013, Volume 81, Issue 3

**337-337 New Book Review Editor for the International Statistical Review***by*Marc Hallin & Vijay Nair**338-360 A Conversation with Colin L. Mallows***by*Lorraine Denby & Jim Landwehr**361-387 A Survey of L 1 Regression***by*Diego Vidaurre & Concha Bielza & Pedro Larrañaga**388-406 Proportional Odds Models with High-Dimensional Data Structure***by*Faisal Maqbool Zahid & Gerhard Tutz**407-425 The Modern Census: Evolution, Examples and Evaluation[1]***by*Bernard Baffour & Thomas King & Paolo Valente**426-455 A Summary of Attack Methods and Confidentiality Protection Measures for Fully Automated Remote Analysis Systems***by*Christine M. O'Keefe & James O. Chipperfield**459-460 Statistics in Psychology Using R and SPSS by Dieter Rasch, Klaus Kubinger, Takuya Yanagida***by*Kimmo Vehkalahti**460-461 New Perspectives in Statistical Modeling and Data Analysis: Proceedings of the 7th Conference of the Classification and Data Analysis Group of the Italian Statistical Society, Catania, September 9–11, 2009 by Salvatore Ingrassia, Roberto Rocci, Maurizio Vichi***by*Fabrizio Durante**461-462 Regression Models as a Tool in Medical Research by Werner Vach***by*Tapio Nummi**462-463 Principles of Business Forecasting by Keith Ord, Robert Fildes***by*Wolfgang Polasek**463-465 Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach by Bruce L. Brown, Suzanne B. Hendrix, Dawson W. Hedges, Timothy B. Smith***by*Wolfgang Polasek**465-466 An Accidental Statistician: The Life and Memories of George E. P. Box by George E. P. Box***by*Norman R. Draper**466-467 Physiology, Biophysics, and Biomedical Engineering by Andrew W. Wood with contributions by Anthony Bartel, Peter Cadusch, Joseph Ciorciari, David Crewther, Per Line, John Patterson, Mark Schier, and Bruce Thompson***by*Jayanta K. Ghosh**467-469 Handbook of Statistical Bioinformatics by Henry Horng-Shing Lu, Bernhard Schölkopf, Hongyu Zhao***by*Jayanta K. Ghosh**469-470 Stationary Stochastic Processes: Theory and Applications by Georg Lindgren***by*Klaus Nordhausen**470-470 Ensemble Methods: Foundations and Algorithms by Zhi-Hua Zhou***by*Klaus Nordhausen**471-471 Introduction to Hierarchical Bayesian Modeling for Ecological Data by Éric Parent, Étienne Rivot***by*Carl M. O'Brien**472-473 Biostatistics with R: An Introduction to Statistics Through Biological Data by Babak Shahbaba***by*Carl M. O'Brien**473-473 Programming in C++ for Engineering and Science by Larry Nyhoff***by*Carl M O'Brien