## Content

### August 2018, Volume 86, Issue 2

**169-188 Optimal Adaptive Designs with Inverse Ordinary Differential Equations***by*Eugene Demidenko**189-204 Missing Data: A Unified Taxonomy Guided by Conditional Independence***by*Marco Doretti & Sara Geneletti & Elena Stanghellini**205-218 The Use of Prior Information in Very Robust Regression for Fraud Detection***by*Marco Riani & Aldo Corbellini & Anthony C. Atkinson**219-236 Estimating Precision and Recall for Deterministic and Probabilistic Record Linkage***by*James Chipperfield & Noel Hansen & Peter Rossiter**237-258 Methods and Tools for Bayesian Variable Selection and Model Averaging in Normal Linear Regression***by*Anabel Forte & Gonzalo Garcia‐Donato & Mark Steel**259-274 Towards a Routine External Evaluation Protocol for Small Area Estimation***by*Alan H. Dorfman**275-299 A History of the GLIM Statistical Package***by*Murray Aitkin**300-321 Measuring Identification Risk in Microdata Release and Its Control by Post‐randomisation***by*Tapan K. Nayak & Cheng Zhang & Jiashen You**322-343 Comparing Inference Methods for Non‐probability Samples***by*Bart Buelens & Joep Burger & Jan A. van den Brakel**344-377 Modeling Temporally Evolving and Spatially Globally Dependent Data***by*Emilio Porcu & Alfredo Alegria & Reinhard Furrer

### April 2018, Volume 86, Issue 1

**1-28 Bayesian Model Averaging: A Systematic Review and Conceptual Classification***by*Tiago M. Fragoso & Wesley Bertoli & Francisco Louzada**29-50 Online Principal Component Analysis in High Dimension: Which Algorithm to Choose?***by*HervÃ© Cardot & David Degras**51-67 Estimation Techniques for Ordinal Data in Multiple Frame Surveys with Complex Sampling Designs***by*Maria del Mar Rueda & Antonio Arcos & David Molina & Maria Giovanna Ranalli**68-86 Simplified Jackknife Variance Estimates for Fuzzy Measures of Multidimensional Poverty***by*Gianni Betti & Francesca Gagliardi & Vijay Verma**87-105 Stratification of Skewed Populations: A Comparison of Optimisationâ€ based versus Approximate Methods***by*Michael A. Hidiroglou & Marcin Kozak**106-118 What Does Objective Mean in a Dirichletâ€ multinomial Process?***by*Danilo Alvares & Carmen Armero & Anabel Forte**119-135 Ecological Fallacy and Covariates: New Insights based on Multilevel Modelling of Individual Data***by*Michela Gnaldi & Venera Tomaselli & Antonio Forcina**136-159 Robust Small Area Estimation under Spatial Nonâ€ stationarity***by*Claudia Baldermann & Nicola Salvati & Timo Schmid**160-160 Monte Carlo Methods and Stochastic Processes Emmanuel Gobet Chapman & Hall/CRC, 2016, 310 pages, Â£44.99, hardcover ISBN: 978â€ 1â€ 498â€ 74622â€ 9***by*Alexander Tsodikov**161-161 Nonlinear Modeling of Solar Radiation and Wind Speed Time Series Luigi Fortuna, Giuseppe Nunnari and Silvia Nunnari Springer, 2016, xv + 98 pages, $54.99, softcover ISBN: 978â€ 3â€ 319â€ 38764â€ 2***by*Sue Ellen Haupt**162-162 Modern Data Science with R Benjamin S. Baumer, Daniel T. Kaplan and Nicholas J. Horton Chapman & Hall/CRC, 2017, 556 pages, $99.95, hardcover ISBN: 978â€ 1â€ 498â€ 72448â€ 7***by*Shuangzhe Liu**163-163 Noninferiority Testing in Clinical Trials: Issues and Challenges Tieâ€ Hua Ng Chapman & Hall/CRC, 2014, 208 pages, Â£56.99, hardcover ISBN: 978â€ 1â€ 466â€ 56149â€ 6***by*Lili Zhao**163-165 Financial Analytics with R Mark J. Bennet and Dirk L. Hugen Cambridge University Press, 2016, 377 pages, â‚¬55.99, hardcover ISBN: 978â€ 1â€ 107â€ 15075â€ 1***by*Krzysztof Podgorski**165-166 Observation & Experiment: An Introduction to Causal Inference Paul R. Rosenbaum Harvard University Press, 2017, 374 pages, Â£25.95, hardcover ISBN: 978â€ 0â€ 674â€ 97557â€ 6***by*Carol Joyce Blumberg**166-167 Errors, Blunders, and Lies: How to Tell the Difference David S. Salsburg ASAâ€ CRC Series on Statistical Reasoning in Science and Society. Chapman & Hall/CRC, 2017, 154 pages, Â£77.00, hardcover ISBN: 978â€ 1â€ 138â€ 72698â€ 7***by*Reijo Sund

### December 2017, Volume 85, Issue 3

**381-403 Interview with Nancy Reid***by*Ana-Maria Staicu**404-420 A Tutorial on Palm Distributions for Spatial Point Processes***by*Jean-François Coeurjolly & Jesper Møller & Rasmus Waagepetersen**421-438 Variance Estimation of Imputed Estimators of Change for Repeated Rotating Surveys***by*Yves G. Berger & Emilio L. Escobar**439-454 Spatially Balanced Sampling: A Review and A Reappraisal***by*Roberto Benedetti & Federica Piersimoni & Paolo Postiglione**455-472 Expected Precision of Estimation and Probability of Ruling Out a Hypothesis Based on a Confidence Interval***by*Emil Scosyrev & Fabrice Bancken**473-493 A Two-Step Procedure to Measure Representativeness of Internet Data Sources***by*Maciej Beręsewicz**494-518 ADMM for Penalized Quantile Regression in Big Data***by*Liqun Yu & Nan Lin**519-541 Modern Likelihood-Frequentist Inference***by*Donald Alan Pierce & Ruggero Bellio**542-542 Modelling Discrete Time-to-Event Data Gerhard Tutz and Matthias Schmid Springer International Publishing , 2016 , x + 247 pages, $89.99, hardcover ISBN: 978-3-319-28156-8***by*Shuangzhe Liu**543-543 Principles of Copula Theory Fabrizio Durante and Carlo Sempi CRC Press , 2015 , 332 pages, £72.99, hardcover ISBN: 978-1-439-88442-3***by*Alex Tsodikov**543-544 Principal Component Analysis Networks and Algorithms Xiangyu Kong , Changhua Hu and Zhansheng Duan Springer , 2017 , XXII + 323 pages, £112.00, hardcover ISBN: 978-9-811-02913-4***by*Ravindra Khattree**544-545 Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry Susmita Datta and Bart J. A. Mertens Springer Frontiers in Probability and the Statistical Sciences , 2017 , 295 pages, £82.00, hardcover ISBN: 978-3-319-45807-6***by*Debashis Ghosh

### August 2017, Volume 85, Issue 2

**185-203 A Tutorial on Multilevel Survival Analysis: Methods, Models and Applications***by*Peter C. Austin**204-227 Modelling Clustered Heterogeneity: Fixed Effects, Random Effects and Mixtures***by*Gerhard Tutz & Margret-Ruth Oelker**228-249 Methods for Scalar-on-Function Regression***by*Philip T. Reiss & Jeff Goldsmith & Han Lin Shang & R. Todd Ogden**250-269 Design-based Estimators Calibrated on Estimated Totals from Multiple Surveys***by*Alessio Guandalini & Yves Tillé**270-289 A Comparison of two Robust Estimation Methods for Business Surveys***by*Robert Graham Clark & Philip Kokic & Paul A. Smith**290-324 Graphical Tools for Detecting Departures from Linear Mixed Model Assumptions and Some Remedial Measures***by*Julio M. Singer & Francisco M.M. Rocha & Juvêncio S. Nobre**325-339 Celebrating the Memory of Corrado Gini: a Personality Out of the Ordinary***by*Giovanni M. Giorgi & Stefania Gubbiotti**340-354 Vector Stochastic Processes with Pólya-Type Correlation Structure***by*Chunsheng Ma**355-370 From a System of National Accounts to a Process of National Wellbeing Accounting***by*Paul Allin & David J. Hand**371-372 Introduction to Data Science Laura Igual and Santi Seguí Springer , 2017 , xiv + 218 pages, C48.14, softcover ISBN: 978-3-319-50016-4***by*Krzysztof Podgorski**372-373 Educational Measurement for Applied Researchers Margaret Wu Hak Ping Tam and Tsung-Hau Jen Springer Nature Singapore Pte Ltd. , 2016 , xiv + 306 pages, £82.00, hardcover ISBN: 978-981-10-3300-1***by*Fabrizio Durante**373-374 Algorithms for Data Science Brian Steele John Chandler and Swarna Reddy Springer , 2016 , xxiii + 430 pages, £49.99/$66.99, hardcover ISBN: 978-3-319-45795-6***by*John H. Maindonald**374-375 Equivalence: Elizabeth L. Scott at Berkeley A.L. Golbeck CRC Press , 2017 , xxvi + 596 pages, $68, softcover ISBN: 978-1-4822-4944-6***by*Alice Richardson**375-376 A Panorama of Statistics: Perspectives, Puzzles and Paradoxes in Statistics Eric Sowey and Peter Petocz John Wiley & Sons , 2017 , xii + 313 pages, softcover ISBN: 978-1-119-07582-0***by*Jorma K. Merikoski**376-377 Improving Population Health Using Electronic Health Records. Methods for Data Management and Epidemiological Analysis Neal D. Goldstein CRC Press , 2017 , xix + 254 pages, £45.99, softcover ISBN: 978-11381-9637-7***by*Reijo Sund**377-379 Survival Analysis in Genetics and Medicine Jialiang Li and Shuangge Ma CRC Press , 2013 , 381 pages, £78.99, hardcover ISBN: 978-1-43989-311-1***by*P. G. Sankaran**379-380 Statistical Rethinking: A Bayesian Course with Examples in R and Stan Richard McElreath CRC Press , 2015 , 469 pages, £67.99, hardcover ISBN: 978-1-482-25344-3***by*Diego Andrés Pérez Ruiz

### April 2017, Volume 85, Issue 1

**1-30 Statistical Scale Space Methods***by*Lasse Holmström & Leena Pasanen**31-32 Discussion***by*María Oliveira & Rosa M. Crujeiras & Alberto Rodríguez-Casal**33-35 Discussion***by*Cheolwoo Park & Yongho Jeon & Kee-Hoon Kang**36-37 Discussion***by*Fred Godtliebsen & Stein O. Skrøvseth & Susan Wei**38-40 Discussion***by*Hui-Guo Zhang & Chang-Lin Mei**40-43 Discussion***by*Subhajit Dutta & Anil K. Ghosh**43-45 Rejoinder***by*Lasse Holmström & Leena Pasanen**46-60 A Conversation with Roger Koenker***by*Xuming He**61-83 Functional Principal Component Regression and Functional Partial Least-squares Regression: An Overview and a Comparative Study***by*Manuel Febrero-Bande & Pedro Galeano & Wenceslao González-Manteiga**84-107 Accessible Conceptions of Statistical Inference: Pulling Ourselves Up by the Bootstraps***by*Chris J. Wild & Maxine Pfannkuch & Matt Regan & Ross Parsonage**108-142 Multivariate Hill Estimators***by*Yves Dominicy & Pauliina Ilmonen & David Veredas**143-163 Selecting Adaptive Survey Design Strata with Partial R-indicators***by*Barry Schouten & Natalie Shlomo**164-176 Modelling the Ecological Comorbidity of Acute Respiratory Infection, Diarrhoea and Stunting among Children Under the Age of 5 Years in Somalia***by*Damaris K. Kinyoki & Samuel O. Manda & Grainne M. Moloney & Elijah O. Odundo & James A. Berkley & Abdisalan M. Noor & Ngianga-Bakwin Kandala**177-177 Statistics in Toxicology Using R L.A. Hothorn Chapman and Hall/CRC , 2015 , 234 pages, £61.99, hardback ISBN: 978-1-498-70127-3***by*Alice Richardson**177-178 Extreme Value Modelling and Risk Analysis Dipak K. Dey and Jun Yan Chapman and Hall/CRC , 2016 , 540 pages, £69.99, hardback ISBN: 978-1-498-70129-7***by*Lili Zhao**178-179 Fundamental Concepts for New Clinical Trialists Scott Evans and Naitee Ting Chapman and Hall/CRC Biostatistics Series , 2015 , 348 pages, £52.99, hardback ISBN: 978-1-420-09087-1***by*Lili Zhao**179-180 Monte Carlo Methods and Stochastic Processes – From Linear to Non-Linear Emmanuel Gobet Chapman and Hall/CRC , 2016 , xiii + 310 pages, £44.99, hardback ISBN: 978-1-498-74622-9***by*Krzysztof PodgÓrski**180-181 Stochastic Volatility Modelling Lorenzo Bergomi Chapman and Hall/CRC , 2016 , xvi + 522 pages, £57.99, hardback ISBN: 978-1-4822-4406-9***by*Krzysztof PodgÓrski**181-183 Time Series Econometrics Klaus Neusser Springer International Publishing , 2016 , xxiv + 409 pages, £99.00, hardcover ISBN: 978-3-319-32861-4***by*Tucker S. McElroy

### December 2016, Volume 84, Issue 3

**327-344 Posterior Inference in Bayesian Quantile Regression with Asymmetric Laplace Likelihood***by*Yunwen Yang & Huixia Judy Wang & Xuming He**345-349 Discussion***by*Roger Koenker**349-356 Discussion***by*James P. Hobert & Kshitij Khare**356-359 Discussion***by*Lan Wang & Ben Sherwood**359-362 Discussion***by*Luke B. Smith**362-367 Discussion: Should a Working Model Actually Work?***by*Xiao-Li Meng**367-370 Rejoinder***by*Yunwen Yang & Huixia Judy Wang & Xuming He**371-389 Statistical Inference, Learning and Models in Big Data***by*Beate Franke & Jean-FRANçois Plante & Ribana Roscher & En-shiun Annie Lee & Cathal Smyth & Armin Hatefi & Fuqi Chen & Einat Gil & Alexander Schwing & Alessandro Selvitella & Michael M. Hoffman & Roger Grosse & Dieter Hendricks & Nancy Reid**390-412 Adversarial and Amiable Inference in Medical Diagnosis, Reliability and Survival Analysis***by*Nozer D. Singpurwalla & Barry C. Arnold & Joseph L. Gastwirth & Anna S. Gordon & Hon Keung Tony Ng**413-433 A Review on Modal Clustering***by*Giovanna Menardi**434-455 On Goodness of Fit for Operational Risk***by*Andrey Feuerverger**456-486 Lognormal Distributions and Geometric Averages of Symmetric Positive Definite Matrices***by*Armin Schwartzman**487-505 H-likelihood Predictive Intervals for Unobservables***by*Youngjo Lee & Gwangsu Kim**506-527 Skysurveys, Light Curves and Statistical Challenges***by*G. Jogesh Babu & Ashish Mahabal**528-549 Implications of the Data Revolution for Statistics Education***by*Jim Ridgway**550-550 Estimation and Testing under Sparsity Sara van de Geer Springer , 2016 , xiii + 274 pages, $59.99, softback ISBN: 978-3-319-32773-0***by*D.R. Cox**550-551 Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives Andrew S. Fullerton , Jun Xu CRC Press , 2016 , xvi + 172 pages, £49.99/$79.95, hardcover ISBN: 978-1-4665-6973-7***by*John H. Maindonald**552-553 Handbook of Health Survey Methods Timothy P. Johnson Editor John Wiley and Sons, Inc. , 2015 , xxii + 816 pages, £100.00/€125.00, hardcover ISBN: 978-1-118-00232-2***by*Steven G. Heeringa**554-554 Generalised Principal Component Analysis Rene Vidal , Yi Ma , S. Shankar Sastry Springer , 2016 , 553 pages, €72.79, hardcover***by*Lili Zhao**554-555 Branching Process Models of Cancer Richard Durrett Springer International Publishing , 2015 , vii + 63 pages, €31.79, softcover ISBN: 978-3-319-16064-1***by*Alexander Tsodikov**556-557 Exposure-Response Modelling: Methods and Practical Implementation Jixian Wang Chapman & Hall/CRC , 2015 , xv + 331 pages, £61.99, hardback ISBN: 978-14665-7320-8***by*Reijo Sund

### August 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

### April 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**159-161 Bayesian and Frequentist Regression Methods***by*Sanjib Basu**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

### December 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**511-512 An Introduction to STATA for Health Researchers***by*Melissa Plegue**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

### August 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

### April 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**165-167 A Chronicle of Permutation Statistical Methods: 1920–2000, and Beyond***by*Andreas Rosenblad**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

### December 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