Mathematical Statistics and Probability Theory
Editat de Madan L Puri, P. Révész, Wolfgang Wertz, P. Bauer, F. Konecnyen Limba Engleză Paperback – 26 sep 2011
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Specificații
ISBN-13: 9789401082587
ISBN-10: 9401082588
Pagini: 326
Ilustrații: XIV, 326 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.52 kg
Ediția:Softcover Reprint of the Original 1st 1987 edition
Editura: Springer
Locul publicării:Dordrecht, Netherlands
ISBN-10: 9401082588
Pagini: 326
Ilustrații: XIV, 326 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.52 kg
Ediția:Softcover Reprint of the Original 1st 1987 edition
Editura: Springer
Locul publicării:Dordrecht, Netherlands
Public țintă
ResearchCuprins
On Central Limit Theorems and Uniform Integrability for Certain Stopped Linear Sum Processes.- A Characterization of Identifiability of Mixtures of Distributions.- On Nonuniform Estimates of the Rate of Convergence in the Central Limit Theorem for Functions of the Average of Independent Random Variables.- The Support of Extremal Probability Measures with Given Marginals.- Convergence for the Sample Extremes Via Convolutions.- Many Heads in a Short Block.- Weak Laws for the Increments of Wiener Processes, Brownian Bridges, Empirical Processes and Partial Sums of I.I.D.R.V.’s.- A Strong Law of Large Numbers in Banach Spaces of Type ?.- On the Last Zero of a Wiener Process.- Almost Sure Asymptotic Behavior of the Record and Record Time Sequences of a Stationary Gaussian Process.- Weak Convergence of Weighted Multivariate Empirical Processes under Mixing Conditions.- Generalized Translation Structures and Invariant Feller Semigroups.- Mixing Properties for f-Expansions: The Bounded p-Variation Case.- Uniform Integrability in Anscombe’s Theorem for Martingales.- On a Functional Equation Occurring in the Limit Theorem for Maxima with Random Indices.- Comparison of Shift Experiments on a Banach Space.- On the ?-Fields which are Larger than a Sufficient One.- On the Properties of Marginal Densities and Conditional Moments of Elliptically Contoured Measures.- Consistency of Kernel Density Estimators and Laws of Large Numbers in C0(R).- Testing Hypotheses on Independent, not Identically Distributed Models.- A Limit Theorem for Double Arrays.- The Description of the Class I0 in the Multiplicative Structure of Distribution Functions.- Conditional Semiamarts and Conditional Amarts.- of Volume B.