Stability Problems for Stochastic Models [electronic resource] : Proceedings of the 8th International Seminar held in Uzhgorod, USSR, Sept. 23–29, 1984 / edited by Vladimir V. Kalashnikov, Vladimir M. Zolotarev.
Material type: TextSeries: Lecture Notes in Mathematics ; 1155Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1985Description: VIII, 448 p. online resourceContent type:- text
- computer
- online resource
- 9783540396864
- 519.2 23
- QA273.A1-274.9
- QA274-274.9
On periodic distribution of waiting-time process -- Asymptotic behaviour of some random fields -- Normality of a multidimensional infinitely divisible distribution which coincides with a normal distribution in a cone -- Partial sufficiency of linear forms -- A refinement of Darmois-Skitovitch and Heyde theorems -- The rate of convergence of Erlang distribution to the degenerate one -- Metric estimates of the first occurence time in regenerative processes -- Stability of the lack-of-memory property in a finite number of points -- The central limit theorem and weak convergence of maxima of sums of independent random variables -- Compound metrics with fixed minimal ones -- On limit theorems for the number of Markov renewals -- Some characterization of bivariate distributions based on hazard rate properties -- Confidence intervals for the parameters of strongly stable laws -- Generalization of the Titchmarsh convolution theorem and the complex-valued measures uniquely determined by their restrictions to a half-line -- Limit theorems for extreme order statistics under nonlinear normalization -- A characterization of Gaussian distribution by the linearity of conditional moments -- Extreme functionals in the space of probability measures -- On the ratio of independent stable random variables -- On the Berry-Esseen bound for Student's statistic -- Some new results in a theorem due to Renyi -- Stability for continuous-time nonhomogeneous Markov chains -- Rate of convergence in limit theorems for the max-scheme -- On compound probabilistic metrics with given minimal metrics.
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