Statistical Theory and Related Fields

2017 - 2026

Current editor(s): Zhao Wei

From Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

Access Statistics for this journal.
Is something missing from the series or not right? See the RePEc data check for the archive and series.

Volume 3, issue 2, 2019

Editorial foreword, second issue, 2019 pp. 89-89

Yang Cheng and Jun Shao

Domain estimation under informative linkage pp. 90-102

Ray Chambers, Nicola Salvati, Enrico Fabrizi and Andrea Diniz da Silva

On valid descriptive inference from non-probability sample pp. 103-113

Li-Chun Zhang

Small area prediction of quantiles for zero-inflated data and an informative sample design pp. 114-128

Emily Berg and Danhyang Lee

Small area estimation with subgroup analysis pp. 129-135

Xin Wang and Zhengyuan Zhu

Multi-outcome longitudinal small area estimation – a case study pp. 136-149

Eric Slud and Yves Thibaudeau

Generalised variance functions for longitudinal survey data pp. 150-157

Guoyi Zhang, Yang Cheng and Yan Lu

Graph-based multivariate conditional autoregressive models pp. 158-169

Ye Liang

A resampling approach to estimation of the linking variance in the Fay–Herriot model pp. 170-177

Snigdhansu Chatterjee

Combining multiple imperfect data sources for small area estimation: a Bayesian model of provincial fertility rates in Cambodia pp. 178-185

Junni L. Zhang and John Bryant

Improving timeliness and accuracy of estimates from the UK labour force survey pp. 186-198

D. J. Elliott and P. Zong

An equivalence result for moment equations when data are missing at random pp. 199-207

Marian Hristache and Valentin Patilea

Nearest neighbour imputation under single index models pp. 208-212

Jun Shao and Lei Wang

Multivariate small area estimation under nonignorable nonresponse pp. 213-223

Danny Pfeffermann and Michael Sverchkov

Using state space models as a statistical impact measurement of survey redesigns: a case study of the labour force survey of the Australian Bureau of Statistics pp. 224-238

Xichuan (Mark) Zhang, Jan A. van den Brakel and Siu-Ming Tam

2019 International Workshop on Big Data and Modern Statistics held at ECNU, China pp. 239-241

Wei Zhao, Ying Zhang and Shanping Wang

Volume 3, issue 1, 2019

Editorial foreword pp. 1-1

Jun Shao, Dongchu Sun and Danyu Lin

Prior-based Bayesian information criterion pp. 2-13

M. J. Bayarri, James O. Berger, Woncheol Jang, Surajit Ray, Luis R. Pericchi and Ingmar Visser

A discussion of ‘prior-based Bayesian information criterion’ pp. 14-16

Jiahua Chen and Zeny Feng

A discussion of prior-based Bayesian information criterion (PBIC) pp. 17-18

Jiming Jiang and Thuan Nguyen

A discussion of ‘prior-based Bayesian information criterion (PBIC)’ pp. 19-21

Jun Shao and Sheng Zhang

Discussion on prior-based Bayes information criterion pp. 22-23

Brunero Liseo

Discussion of ‘Prior-based Bayesian Information Criterion (PBIC)’ pp. 24-25

Sifan Liu and Dongchu Sun

Discussion of ‘Prior-based Bayesian Information Criterion (PBIC)’ pp. 26-29

Bertrand S. Clarke

Discussion of ‘Prior-based Bayesian information criterion (PBIC)’ pp. 30-31

Jan Hannig

Discussion of prior-based Bayesian information criterion (PBIC) by M.J. Bayarria, James O. Berger, Woncheol Jang, Surajit Ray, Luis R. Pericchi, and Ingmar Visser pp. 32-34

Ryan A. Peterson and Joseph E. Cavanaugh

Discussion on Prior-based Bayesian Information Criterion (PBIC) by M. J. Bayarri, James O. Berger, Woncheol Jang, Surajit Ray, Luis R. Pericchi, and Ingmar Visser pp. 35-36

Ruobin Gong and Minge Xie

Rejoinder by James Berger, Woncheol Jang, Surajit Ray, Luis R. Pericchi and Ingmar Visser pp. 37-39

The Editors

Measure of rotatability of modified five-level second-order rotatable design using supplementary difference sets pp. 40-47

Haron Mutai Ng’eno

Development of a first order integrated moving average model corrupted with a Markov modulated convex combination of autoregressive moving average errors pp. 48-58

S. A. Komolafe, T. O. Obilade, Idowu Ayodeji and A. R. Babalola

Some results on quantile-based Shannon doubly truncated entropy pp. 59-70

Vikas Kumar, Gulshan Taneja and Samsher Chhoker

Shape-constrained semiparametric additive stochastic volatility models pp. 71-82

Jiangyong Yin, Peter F. Craigmile, Xinyi Xu and Steven MacEachern

The appreciation of statistical thoughts pp. 83-84

Zhao Yujie

Founding of the Big Data Statistics Branch pp. 85-88

Shanping Wang

Volume 2, issue 2, 2018

Editorial foreword, second issue, 2018 pp. 103-104

Jun Shao, Dongchu Sun and Danyu Lin

Statistical inference for nonignorable missing-data problems: a selective review pp. 105-133

Niansheng Tang and Yuanyuan Ju

Variable screening with missing covariates: a discussion of ‘statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju pp. 134-136

Fang Fang and Lyu Ni

Some issues on longitudinal data with nonignorable dropout, a discussion of “Statistical Inference for Nonignorable Missing-Data Problems: A Selective Review” by Niansheng Tang and Yuanyuan Ju pp. 137-139

Lei Wang

A discussion of ‘statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju pp. 140-140

Kosuke Morikawa and Jae Kwang Kim

Semiparametric propensity weighting for nonignorable nonresponse: a discussion of ‘Statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju pp. 141-142

Jun Shao

Statistical methods without estimating the missingness mechanism: a discussion of ‘statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju pp. 143-145

Jiwei Zhao

Rejoinder: statistical inference for non-ignorable missing-data problems: a selective review pp. 146-149

Niansheng Tang and Yuanyuan Ju

Some results of classification problem by Bayesian method and application in credit operation pp. 150-157

Tai Vovan

Combining estimators of a common parameter across samples pp. 158-171

Eric Slud, Ilia Vonta and Abram Kagan

Efficient Robbins–Monro procedure for multivariate binary data pp. 172-180

Cui Xiong and Jin Xu

Dynamic stress–strength reliability estimation of system with survival signature pp. 181-195

Yiming Liu, Yimin Shi, Xuchao Bai and Bin Liu

Pseudo likelihood and dimension reduction for data with nonignorable nonresponse pp. 196-205

Ji Chen, Bingying Xie and Jun Shao

The effects of additive outliers in INAR(1) process and robust estimation pp. 206-214

Marcelo Bourguignon and Klaus L. P. Vasconcellos

Summaries of three keynote lectures at the SAE – 2018 pp. 215-218

Kai Tan and Lyu Ni

Interview with Professor Danny Pfeffermann pp. 219-221

Lyu Ni and Kai Tan

How I became a statistician — thank you speech at birthday dinner pp. 222-224

Danny Pfeffermann

Volume 2, issue 1, 2018

Editorial foreword pp. 1-1

Jun Shao, Dongchu Sun and Danyu Lin

Nutritional epidemiology methods and related statistical challenges and opportunities pp. 2-10

Ross L. Prentice and Ying Huang

On the formation and use of calibration equations in nutritional epidemiology – Discussion of the Paper by R. L. Prentice and Y. Huang pp. 11-13

Laurence S. Freedman and Pamela A. Shaw

Much room for optimism on measuring diet, preventing cancer and cardiovascular disease, and correcting for measurement error – discussion of the paper by R. L. Prentice and Y. Huang pp. 14-20

Donna Spiegelman

Discussion of the paper by R. L. Prentice and Y. Huang: Optimal designs and efficient inference for biomarker studies pp. 21-22

D. Y. Lin

Response to discussion of ‘Nutritional epidemiology methods and related statistical challenges and opportunities’ pp. 23-26

Ross L. Prentice and Ying Huang

Objective Bayesian analysis for the accelerated degradation model using Wiener process with measurement errors pp. 27-36

Daojiang He, Yunpeng Wang and Mingxiang Cao

Objective Bayesian hypothesis testing and estimation for the intraclass model pp. 37-47

Duo Zhang, Daojiang He, Xiaoqian Sun, Tao Lu and Min Wang

Statistical analysis of dependent competing risks model in constant stress accelerated life testing with progressive censoring based on copula function pp. 48-57

Xuchao Bai, Yimin Shi, Yiming Liu and Bin Liu

Step-stress accelerated degradation test planning based on Wiener process with correlation pp. 58-67

Lei He, Rong-Xian Yue and Daojiang He

A generalisation of the exponential distribution and its applications on modelling skewed data pp. 68-79

Muhammad Zubair, Ayman Alzaatreh, M. H. Tahir, Muhammad Mansoor and Manat Mustafa

Deep advantage learning for optimal dynamic treatment regime pp. 80-88

Shuhan Liang, Wenbin Lu and Rui Song

Impact of sufficient dimension reduction in nonparametric estimation of causal effect pp. 89-95

Ying Zhang, Jun Shao, Menggang Yu and Lei Wang

Testing hypotheses under covariate-adaptive randomisation and additive models pp. 96-101

Ting Ye