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文献信息
Metrika is an international journal for theoretical and applied statistics. Metrika publishes original research papers in the field of mathematical statistics and statistical methods. Great importance is attached to new developments in theoretical statistics, statistical modeling, and to the actual innovative applicability of the proposed statistical methods and results. Topics of interest include, without being limited to, multivariate analysis, high dimensional and computer-intensive statistics including resampling methods, nonparametric statistics, time series analysis, categorical data analysis and latent variable models, functional data analysis, reliability, lifetime data analysis, and statistics in engineering sciences.
PhysicaRandom VariablesOrder StatisticsAsymptotic NormalityMaximum LikelihoodDistribution FunctionMaximum Likelihood EstimatorExponential DistributionEstimatorBook ReviewsTest StatisticSample SizeNormal DistributionRandom VariableConfidence IntervalsMathematical ExpressionNonparametric RegressionOptimal DesignRecord ValuesBook Review
vol.88 (2025)
vol.87 (2024)
vol.86 (2023)
vol.85 (2022)
vol.84 (2021)
vol.83 (2020)
vol.82 (2019)
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vol.80 (2017)
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