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Stability Problems for Stochastic Models: Proceedings of the 6th International Seminar Held in Moscow, USSR, April 1982: Lecture Notes in Mathematics, cartea 982

Editat de V.V. Kalashnikov, V.M. Zolotarev
en Limba Engleză Paperback – apr 1983

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Specificații

ISBN-13: 9783540122784
ISBN-10: 3540122788
Pagini: 320
Ilustrații: XX, 300 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.45 kg
Ediția:1983
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Mathematics

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Hypererlang approximation of probability distributions on (0, ?) and its application.- On the discrete analog of Marshall-Olkin’s distribution.- On some stability theorems.- On stability estimation of certain characterization of the exponential distribution.- Accuracy estimation of the results of complex systems simulation with vector output and several types of randomnesses.- A complete metric in the function space D[0, ?) and its application.- On the estimation of location and scale parameters of stable laws.- Discretization in the problems of stability of characterization of the exponential distribution.- Some ouestions of stability theory of the stochastic economical models.- Characterizations of the bivariate exponential distribution and Marshall — Olkin distribution and stability.- On the growth of entire characteristic functions.- An elementary characterization of the multinomial and the multivariate hypergeometric distributions.- On the stability of characterizations of the unit distribution.- Minimal metrics in the real random variables space.- On poisson output of queueing systems.- On a relation between Levy — Prohorov metrics and ideal metrics.- On the stability of lack of memory characterization of the exponential distribution.- Several remarks on applications of one approach to studies of characterization problems of Polya’s theorem type.- On the metrics of the type ?.- On a problem of Dugué.- Limit theorems in the problems of stability.- Robust statistical procedures: A general approach.