Moments in probability and approximation theory

Moments in probability and approximation theory
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概率论和逼近论中的矩

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发表时间:
1993
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通讯作者:
G. Anastassiou
G. Anastassiou
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文献类型:
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作者:
G. Anastassiou

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Geometric moment theory - methods of optimal distance and optimal ratio, convex moment methods moment problems of Kantorovich type and Kantorovich radius - moment problems of Kantorovich type, Kantorovich radius moment problems related to c-rounding proportion subject to one moment condition, moment problems related to c-rounding proportions subject to two moment conditions, moment problems related to Jefferson-rounding proportions subject to two moment conditions, moment problems related to Adams rule of rounding subject to two moment conditions, moment problems related to Jefferson and Adams rules of rounding subject to one moment condition the Levy radius - the levy radius of a set of probability measures satisfying moment conditions involving [t, t2], the Levy radius of a set of probability measures satisfying two moment conditions involving a Tchebycheff system the Prokhorov radius - the Prokhorov radius of a set of probability measures satisfying moment conditions involving {t,t2}, the trigonometric Prokhorov radius probability measure, positive linear operators and Korovkin type inequalities - optimal Korovkin type inequalities, nearly optimal Korovkin inequalities, multivariate Korovkin type inequalities optimal Korovkin type inequalities under convexity - on the degree of weak convergence of a sequence of finite measures to the unit measure under convexity, on the rate of weak convergence of convex type finite measures to the unit measure, on the smooth rate of weak convergence of convex type finite measures to the unit measure optimal knorovkin type inequalities for convolution type operators - sharp inequalities for convolution operators, sharp inequalities for non-positive generalized convolution operators optimal Korovkin type inequalities for positive linear stochastic operators optimal Korovkin type inequalities for positive linear operators using an extended complete Tchebycheff system a general "K-attained" inequality related to the weak convergence of probability measures to the unit measure a general stochastic inequality involving basic moments miscellaneous sharp inequalities and Korovkin type convergence theorems involving sequences of basic moments a discrete stochastic Korovkin type convergence theorem.