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Asymptotic normality of kernel type density estimators for random fields are asymptotically normal if the set of locations of observations become more and more dense in an increasing

Trend and Initial Condition in Stationarity Tests: The Asymptotic AnalysisTrend and Initial Condition in Stationarity Tests: The Asymptotic Analysis

Asymptotic expansion of the determinant of a perturbed matrixAsymptotic expansion of the determinant of a perturbed matrix

Asymptotic normality of kernel type density estimators for random fields are asymptotically normal if the set of locations of observations become more and more dense in an increasing

Asymptotics of the heat kernels on 2D latticesWe obtain asymptotic expansions of the spatially discrete 2D heat kernels, or Green's functions

On asymptotic expansion of posterior distribution© 2016, Pleiades Publishing, Ltd.The paper suggests a new asymptotic expansion of posterior

Transfer theorems concerning asymptotic expansions for the distribution functions of statistics based on samples with random sizesIn the paper, we discuss the transformation of the asymptotic expansion for the distribution of a

First asymptotics of solutions of degenerate second-order differential equationsWe propose a method for constructing asymptotic representations of solutions of linear degenerate

Asymptotic Expansion of D-Risks for Hypothesis Testing in Bernoulli Scheme
© 2018, Pleiades Publishing, Ltd. Currently there is not a single asymptotic expansion of d

Asymptote-based scientific animationThis article discusses a universal way to create animation using Asymptote the language for vector

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