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文献信息
The Far East Journal of Theoretical Statistics serves as a platform for the dissemination of original research papers and comprehensive survey articles pertaining to the field of theoretical statistics. The journal is committed to advancing the mathematical foundations and fundamental principles underlying statistical methodologies. Its scope is primarily centered on the theoretical dimensions of data analysis, including probability theory, statistical inference, and model construction, rather than focusing solely on practical implementations. Areas of interest include, but are not limited to, Bayesian analysis, multivariate analysis, sequential analysis, econometrics, stochastic processes, bootstrap methods, Markov processes, time series, stochastic differential equations, and probability theory. Submissions addressing mathematical and computational statistics are also encouraged.
Publishing HouseMaximum Likelihood EstimatorProbability Density FunctionGeneralized Pareto DistributionBalanced Incomplete BlockCumulative Distribution FunctionPartially Balanced Incomplete Block DesignsParameter EstimationBivariate Poisson DistributionGeneralized Poisson DistributionUniform ConvergencePoisson DistributionSampling Inspection PlanAsymptotic NormalityBayesian EstimationScale ParameterBalanced Incomplete Block DesignAcceptable Quality LevelBayesian AnalysisInverse Gaussian Distribution
vol.69 (2025)
vol.67 (2023)
vol.66 (2022)
vol.65 (2022)
vol.64 (2022)
vol.63 (2021)
vol.62 (2021)
vol.61 (2021)