International Statistical Review

1997 - 2024

Current editor(s): Eugene Seneta and Kees Zeelenberg

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Volume 87, issue S1, 2019

Contemporary Theory and Practice of Survey Sampling: A Celebration of Research Contributions of J. N. K. Rao pp. S1-S2

Jiahua Chen, Changbao Wu, Song Cai and Mahmoud Torabi

My Chancy Life as a Statistician pp. S3-S9

J. N. K. Rao

Developments in Survey Research over the Past 60 Years: A Personal Perspective pp. S10-S30

Graham Kalton

Estimation of Randomisation Mean Square Error in Small Area Estimation pp. S31-S49

Danny Pfeffermann and Dano Ben‐Hur

Modelling Group Heterogeneity for Small Area Estimation Using M‐Quantiles pp. S50-S63

James Dawber and Raymond Chambers

Analysis of Categorical Data for Complex Surveys pp. S64-S78

Chris Skinner

Combining Data from New and Traditional Sources in Population Surveys pp. S79-S89

Mary E. Thompson

Some Variants of Constrained Estimation in Finite Population Sampling pp. S90-S103

Malay Ghosh and Rebecca C. Steorts

Bayesian Analysis of a Sensitive Proportion for a Small Area pp. S104-S120

Balgobin Nandram and Yuan Yu

Model‐Assisted Regression Estimators for Longitudinal Data with Nonignorable Dropout pp. S121-S138

Lei Wang, Cuicui Qi and Jun Shao

Statistical Analysis with Linked Data pp. S139-S157

Ying Han and Partha Lahiri

Robust Hierarchical Bayes Small Area Estimation for the Nested Error Linear Regression Model pp. S158-S176

Adrijo Chakraborty, Gauri Sankar Datta and Abhyuday Mandal

Sampling Techniques for Big Data Analysis pp. S177-S191

Jae Kwang Kim and Zhonglei Wang

Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review pp. S192-S218

Sixia Chen and David Haziza

Small Area Quantile Estimation pp. S219-S238

Jiahua Chen and Yukun Liu

Some Theoretical and Practical Aspects of Empirical Likelihood Methods for Complex Surveys pp. S239-S256

Puying Zhao and Changbao Wu

Volume 87, issue 3, 2019

An Interview with Chris Skinner pp. 451-470

David Haziza and Paul A. Smith

On Quantile‐based Asymmetric Family of Distributions: Properties and Inference pp. 471-504

Irène Gijbels, Rezaul Karim and Anneleen Verhasselt

On the Analysis of Large Numbers of p‐values pp. 505-513

David R. Cox and Christiana Kartsonaki

Estimating Mann–Whitney‐type Causal Effects pp. 514-530

Zhiwei Zhang, Shujie Ma, Changyu Shen and Chunling Liu

Fast Kernel Smoothing of Point Patterns on a Large Network using Two‐dimensional Convolution pp. 531-556

Suman Rakshit, Tilman Davies, M. Mehdi Moradi, Greg McSwiggan, Gopalan Nair, Jorge Mateu and Adrian Baddeley

Mixture of Truthful–Untruthful Responses in Public Surveys pp. 557-579

Tasos C. Christofides and Pier Francesco Perri

Reliable Inference in Categorical Regression Analysis for Non‐randomly Coarsened Observations pp. 580-603

Julia Plass, Marco E.G.V. Cattaneo, Thomas Augustin, Georg Schollmeyer and Christian Heumann

W.F. Sheppard's Smoothing Method: A Precursor to Local Polynomial Regression pp. 604-612

Lori Murray and David Bellhouse

Interpoint Distance Test of Homogeneity for Multivariate Mixture Models pp. 613-638

Yu Song and Reza Modarres

Volume 87, issue 2, 2019

Interpoint Distance Classification of High Dimensional Discrete Observations pp. 191-206

Lingzhe Guo and Reza Modarres

Cumulative and CUB Models for Rating Data: A Comparative Analysis pp. 207-236

Domenico Piccolo, Rosaria Simone and Maria Iannario

An Updated Literature Review of Distance Correlation and Its Applications to Time Series pp. 237-262

Dominic Edelmann, Konstantinos Fokianos and Maria Pitsillou

Projection‐Based Inference in Randomised Clinical Trials pp. 263-284

Biao Zhang

Bayesian Calibration of p‐Values from Fisher's Exact Test pp. 285-305

Manuela Ott and Leonhard Held

Cox Point Processes: Why One Realisation Is Not Enough pp. 306-325

Athanasios C. Micheas

What are the Characteristics of Respondents using Different Devices in Mixed‐device Online Surveys? Evidence from Six UK Surveys pp. 326-346

Olga Maslovskaya, Gabriele B. Durrant, Peter W.F. Smith, Tim Hanson and Ana Villar

Linearisation for Variance Estimation by Means of Sampling Indicators: Application to Non‐response pp. 347-367

Audrey‐Anne Vallée and Yves Tillé

A Comparison of Methods for Poverty Estimation in Developing Countries pp. 368-392

Sumonkanti Das and Stephen Haslett

Review and Comparison of Computational Approaches for Joint Longitudinal and Time‐to‐Event Models pp. 393-418

Allison K.C. Furgal, Ananda Sen and Jeremy M.G. Taylor

Prior‐free Bayes Factors Based on Data Splitting pp. 419-442

Jeffrey D. Hart and Matthew Malloure

Foundations of Info‐Metrics, Amos Golan, Oxford University Press, 2018, xx + 465 pages, $99.00, hardcover, ISBN: 978‐0‐199‐34953‐1 pp. 443-443

D. R. Cox

Statistical Intervals: A Guide for Practitioners and Researchers, Second Edition, William Q. Meeker, Gerald J. Hahn and Luis A. Escobar, John Wiley & Sons Inc., 2017, 592 + xxxv pages, £83.50, hardcover, ISBN: 978‐0‐471‐68717‐7 pp. 443-445

Stephen B. Vardeman

Data Science with Julia, Paul D. McNicholas and Peter A. Tait, CRC Press, 2019, 220 pages, £37.59, paperback, ISBN: 978‐1‐138‐49998‐0 pp. 445-446

Daniel Fischer

Design of Experiments for Generalized Linear Models, Kenneth Russell, CRC Press, 2019, xiv + 225 pages, $154.40, hardcover, ISBN: 978‐1‐498‐71917‐9 pp. 447-448

John H. Maindonald

Statistical Inference for Engineers and Data Scientists, Pierre Moulin and Venugopal V. Veeravalli, Cambridge University Press, 2018, 418 pages, £54.99, hardcover, ISBN: 978‐1‐107‐18592‐0 pp. 448-449

Shuangzhe Liu

SAS for Mixed Models: Introduction and Basic Applications, Walter W. Stroup, George A. Milliken, Elizabeth A. Claassen and Russell D. Wolfinger, Chapman & Hall/CRC, 2018, 446 pages, e‐book, ISBN: 978‐1‐63526‐152‐3 pp. 449-450

Lili Zhao

Volume 87, issue 1, 2019

Localised Estimates of Dynamics of Multi‐dimensional Disadvantage: An Application of the Small Area Estimation Technique Using Australian Survey and Census Data pp. 1-23

Bernard Baffour, Hukum Chandra and Arturo Martinez

Semiparametric Regression Analysis of Panel Count Data: A Practical Review pp. 24-43

Sy Han Chiou, Chiung‐Yu Huang, Gongjun Xu and Jun Yan

Analysing Multivariate Spatial Point Processes with Continuous Marks: A Graphical Modelling Approach pp. 44-67

Matthias Eckardt and Jorge Mateu

A Statistical Model to Investigate the Reproducibility Rate Based on Replication Experiments pp. 68-79

Francesco Pauli

Distance Metrics and Clustering Methods for Mixed‐type Data pp. 80-109

Alexander H. Foss, Marianthi Markatou and Bonnie Ray

Why Distinguish Between Statistics and Mathematical Statistics–The Case of Swedish Academia pp. 110-126

Peter Guttorp and Georg Lindgren

Extrapolation‐based Bandwidth Selectors: A Review and Comparative Study with Discussion on Bivariate Applications pp. 127-151

Qing Wang

Confidence Intervals for the Area Under the Receiver Operating Characteristic Curve in the Presence of Ignorable Missing Data pp. 152-177

Hunyong Cho, Gregory J. Matthews and Ofer Harel

Mathematical Statistics: An Introduction to Likelihood Based Inference Richard J. Rossi John Wiley & Sons, 2018, xv + 422 pages, £85.99, ebook ISBN: 978‐1‐118‐77104‐4, LCCN 2018010628 (ebook) pp. 178-179

G. Alastair Young

The Bayesian Way: Introductory Statistics for Economists and Engineers Svein Olav Nyberg John Wiley & Sons, 2018, ix + 512 pages, £87.50, hardcover ISBN: 978‐1‐119‐24687‐9 pp. 179-181

Jim Albert

Data Science and Predictive Analytics: Biomedical and Health Applications Using R Ivo D. Dinov Springer, 2018, xxxiv + 832 pages, £89.99, hardcover ISBN: 978‐3‐319‐72346‐4 pp. 181-182

Mindy Capaldi

Practical Bayesian Inference: A Primer for Physical Scientists Coryn A. L. Bailer‐Jones Cambridge University Press, 2017, x + 295 pages, £69.99, hardcover ISBN 978‐1‐316‐64221‐4 pp. 182-184

Christian P. Robert

International Handbook of Research in Statistics Education Dani Ben‐Zvi, Katie Makar & Joan Garfield (Eds.) Springer, 2018, xix + 512 pages, £437.50/$229.00, hardcover ISBN: 978‐3‐319‐66193‐3 pp. 184-186

Andreas Rosenblad

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science Bradley Efron and Trevor Hastie Institute of Mathematical Statistics Monographs Cambridge University Press, 2016, (8th printing 2018), xix + 475 pages, $74.99, hardcover ISBN: 978‐1‐107‐14989‐2 pp. 186-188

Reijo Sund

Measuring Agreement–Models, Methods, and Applications P. K. Choudhary and H. N. Nagaraja John Wiley & Sons, 2018, xv + 360 pages, £78.99, ebook ISBN: 978‐1‐118‐07858‐7 pp. 188-189

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