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Stability Problems for Stochastic Models [electronic resource] : Proceedings of the 11th International Seminar held in Sukhumi (Abkhazian Autonomous Republic) USSR, Sept. 25–Oct. 1, 1987 / edited by Vladimir V. Kalashnikov, Vladimir M. Zolotarev.

Contributor(s): Material type: TextTextSeries: Lecture Notes in Mathematics ; 1412Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1989Description: XII, 384 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540468639
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 519.2 23
LOC classification:
  • QA273.A1-274.9
  • QA274-274.9
Online resources:
Contents:
The density function's asymptotic representation in the case of multidimensional strictly stable distributions -- Limiting behaviour of the sum of I.I.D. random variables and its terms of greatest moduli in the case of logarithmic type tall function -- On the adaptive estimation of change points -- Precise upper bounds for the functionals describing tumour treatment efficiency -- A multivariate analog of the Cramer theorem on components of the Gaussian distributions -- A refinement of Lukacs theorems -- On the connection of Renyi's theorem and Renewal theory -- On the products of a random number of random variables in connection with a problem from mathematical economics -- The asymptotic distributions of random sums -- Normal and degenerate convergences of random sums -- New duality theorems for Marginal problems with some applications in stochastics -- Stable random vectors in Hilbert space -- The mean's consistent estimation, in the case random processes, satisfying partial differential equations -- Limit theorems in the set up of sumnation of a random number of independent identically distributed random variables -- Some asymptotic properties of the stable laws -- A chi-square goodness-of-fit test for exponential distributions of the first order -- A conditional weak law of large numbers -- On the rate of convergence for the extreme value in the case of IFR-distributions -- On the rate of convergence in extreme value theory -- Some properties of stochastic processes with linear regression -- On characterization of generalized logistic and pareto distributions -- Limit theorems for positive definite probability densities -- On the estimate of the rate of convergence in the central limit theorem in Hilbert space -- Stability of decomposition in semigroups of functions representable by series in the Jacobi polynomials -- A regressional characterization of the poisson distribution -- Hitting times of single points for 1-dimensional generalized diffusion processes -- Pseudotrajectories and stability problems for stochastic dynamical systems.
In: Springer eBooksSummary: Traditionally the Stability seminar, organized in Moscow but held in different locations, has dealt with a spectrum of topics centering around characterization problems and their stability, limit theorems, probabil- ity metrics and theoretical robustness. This volume likewise focusses on these main topics in a series of original and recent research articles.
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The density function's asymptotic representation in the case of multidimensional strictly stable distributions -- Limiting behaviour of the sum of I.I.D. random variables and its terms of greatest moduli in the case of logarithmic type tall function -- On the adaptive estimation of change points -- Precise upper bounds for the functionals describing tumour treatment efficiency -- A multivariate analog of the Cramer theorem on components of the Gaussian distributions -- A refinement of Lukacs theorems -- On the connection of Renyi's theorem and Renewal theory -- On the products of a random number of random variables in connection with a problem from mathematical economics -- The asymptotic distributions of random sums -- Normal and degenerate convergences of random sums -- New duality theorems for Marginal problems with some applications in stochastics -- Stable random vectors in Hilbert space -- The mean's consistent estimation, in the case random processes, satisfying partial differential equations -- Limit theorems in the set up of sumnation of a random number of independent identically distributed random variables -- Some asymptotic properties of the stable laws -- A chi-square goodness-of-fit test for exponential distributions of the first order -- A conditional weak law of large numbers -- On the rate of convergence for the extreme value in the case of IFR-distributions -- On the rate of convergence in extreme value theory -- Some properties of stochastic processes with linear regression -- On characterization of generalized logistic and pareto distributions -- Limit theorems for positive definite probability densities -- On the estimate of the rate of convergence in the central limit theorem in Hilbert space -- Stability of decomposition in semigroups of functions representable by series in the Jacobi polynomials -- A regressional characterization of the poisson distribution -- Hitting times of single points for 1-dimensional generalized diffusion processes -- Pseudotrajectories and stability problems for stochastic dynamical systems.

Traditionally the Stability seminar, organized in Moscow but held in different locations, has dealt with a spectrum of topics centering around characterization problems and their stability, limit theorems, probabil- ity metrics and theoretical robustness. This volume likewise focusses on these main topics in a series of original and recent research articles.

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