International Statistical Review is the flagship journal of the International Statistical Institute (ISI) and of its family of Associations. It publishes papers of broad and general interest in statistics and probability. The term Review is to be interpreted broadly. The types of papers that are suitable for publication include (but are not limited to) the following: reviews/surveys of significant developments in theory, methodology, statistical computing and graphics, statistical education, and application areas; tutorials on important topics; expository papers on emerging areas of research or application; papers describing new developments and/or challenges in relevant areas; papers addressing foundational issues; papers on the history of statistics and probability; white papers on topics of importance to the profession or society; and historical assessment of seminal papers in the field and their impact.
《国际统计评论》是国际统计学会及其协会的旗舰期刊。它发表论文的广泛和普遍感兴趣的统计和概率。“审查”一词应作广义解释。适合发表的论文类型包括(但不限于)以下内容:对理论、方法、统计计算和制图、统计教育和应用领域的重大发展进行审查/调查;关于重要主题的教程;关于新兴研究或应用领域的说明性论文;介绍相关领域新发展和/或挑战的文件;论述基本问题的文件;关于统计学和概率的历史论文;对专业或社会具有重要意义的白色;以及对该领域的开创性论文及其影响的历史评估。
Sampling Techniques for Big Data Analysis
来源期刊:International Statistical ReviewDOI:10.1111/insr.12290
Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12305
Statistical Analysis with Linked Data
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12295
Combining Data from New and Traditional Sources in Population Surveys
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12292
A Comparison of Methods for Poverty Estimation in Developing Countries
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12314
Developments in Survey Research over the Past 60 Years: A Personal Perspective
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12287
Estimating Mann–Whitney‐type Causal Effects
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12326
Some Theoretical and Practical Aspects of Empirical Likelihood Methods for Complex Surveys
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12291
Model‐Assisted Regression Estimators for Longitudinal Data with Nonignorable Dropout
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12288
Semiparametric Regression Analysis of Panel Count Data: A Practical Review
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12271
Modelling Group Heterogeneity for Small Area Estimation Using M-Quantiles
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12284
Robust Hierarchical Bayes Small Area Estimation for the Nested Error Linear Regression Model
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12283
Localised Estimates of Dynamics of Multi‐dimensional Disadvantage: An Application of the Small Area Estimation Technique Using Australian Survey and Census Data
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12270
Extrapolation‐based Bandwidth Selectors: A Review and Comparative Study with Discussion on Bivariate Applications
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12276
Bayesian Analysis of a Sensitive Proportion for a Small Area
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12286
A Statistical Model to Investigate the Reproducibility Rate Based on Replication Experiments
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12273
What are the Characteristics of Respondents using Different Devices in Mixed‐device Online Surveys? Evidence from Six UK Surveys
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12311
Estimation of randomisation mean square error in small area estimation
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12289
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
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12319
My Chancy Life as a Statistician
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12296
Some Variants of Constrained Estimation in Finite Population Sampling
来源期刊:International Statistical ReviewDOI:10.1111/INSR.12309