Stability Problems for Stochastic Models

Proceedings of the 6th International Seminar Held in Moscow, USSR, April 1982

AvV.V. Kalashnikov,V.M. Zolotarev

Häftad, Engelska, 1983

Del 982 i serien Lecture Notes in Mathematics

375 kr

Beställningsvara. Skickas inom 7-10 vardagar. Fri frakt över 249 kr.

Produktinformation

Utgivningsdatum:1983-04-01
Mått:155 x 235 x 18 mm
Vikt:487 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Mathematics
Antal sidor:300
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783540122784

Utforska kategorier

Innehållsförteckning

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.