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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.
Asymptotic NormalityNonparametric RegressionRandom VariablesNonparametric EstimationModel SelectionOrder StatisticsMaximum LikelihoodEstimatorMaximum Likelihood EstimatorDensity EstimationIndependent and Identically DistributedNonparametric Density EstimationCentral Limit TheoremDistribution FunctionNull HypothesisCensored DataUnknown ParameterEmpirical Distribution FunctionMaximum Likelihood EstimationAsymptotic Theory
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.