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Mathematical Methods of Statistics
中科院3区 JCR:Q4 ESCI JST
Mathematical Methods of Statistics is an international peer-reviewed journal dedicated to the mathematical foundations of statistical theory. It mostly publishes research papers with complete proofs and, occasionally, review papers on particular problems of statistics. Papers dealing with applications of statistics are also published if they contain new theoretical developments to the underlying statistical methods. It aims to provide a platform for research in advanced statistical methodology and reports studies where such methodology is effectively used or stimulates further development.
- 主办单位： PLEIADES PUBLISHING INC
- 出版地区： NEW YORK
- 出版周期： 季刊
- 别名： MATH METHODS STAT;Math. Methods Stat.;MATHEMATICAL METHODS OF STATISTICS
- 国际标准连续出版物号/电子版： ISSN 1066-5307 / EISSN 1934-8045
- 创刊时间： 1992年
热门主题：
Asymptotic NormalityNonparametric RegressionRandom VariablesModel SelectionOrder StatisticsNonparametric EstimationEstimatorMaximum LikelihoodDensity EstimationMaximum Likelihood EstimatorCentral Limit TheoremIndependent and Identically DistributedWeak ConvergenceNonparametric Density EstimationDistribution FunctionCensored DataCovariance StructureNull HypothesisSample MeanUnknown Parameter
期刊信息
- 主办单位：PLEIADES PUBLISHING INC
- 主 编：Narayanaswamy Balakrishnan
- 地 址： NEW YORK
- 电子邮件： mmstat@pleiadesonline.com(external support)
期刊简介
Mathematical Methods of Statistics is an international peer-reviewed journal dedicated to the mathematical foundations of statistical theory. It mostly publishes research papers with complete proofs and, occasionally, review papers on particular problems of statistics. Papers dealing with applications of statistics are also published if they contain new theoretical developments to the underlying statistical methods. It aims to provide a platform for research in advanced statistical methodology and reports studies where such methodology is effectively used or stimulates further development.