Investigations in the Theory of Stochastic Processes

Name: Investigations in the Theory of Stochastic Processes
Brand: Springer-Verlag New York Inc.
SKU: 9781468481594
Price: 19819 HUF
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Szerző: V. N. Sudakov

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten

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This volume contains eight artieles by five authors. The common theme is indicated by the title, "In...

Információk a könyvről

Szerző

V. N. Sudakov

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2012

oldal

EAN

9781468481594

ISBN

1468481592

Enbook ID

02643737

Kiadó

Springer-Verlag New York Inc.

Súly

286

Méretek

210 x 279 x 7

Teljes leírás

This volume contains eight artieles by five authors. The common theme is indicated by the title, "Investigations in the Theory of Stochastic Processes. " The artiele by Vershik and Sudakov is a summary of severallectures delivered by the authors on the general aspects of measure theory in linear spaces. The main attention here is focused on the development of certain general concepts within whose framework are studied both the foundations of the theory of random processes as weIl as more specialized probIems. The published summary does not presume prior acquaintance with the subj eet. The group of artieles by Ibragimov and Solev is devoted to questions connected with the regular ity of stationary random processes. Ibragimov, in "Conditions for the Complete Regularity of Station ary Processes with Continuous Time," derives suffi"ient conditions for the complete regularity of a stationary random process with continuous time. The case of a rapid decrease of the regularity coef ficient (in power or exponential form) is investigated. In his other artiele, "Complete Regularity of Generalized Stationary Random Processes," he shows that the problem of investigating the conditions for the complete regularity of generalized stationary random processes reduces to the analogous problem for general stationary random processes.

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Investigations in the Theory of Stochastic Processes

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