Semi-Markov Processes and Reliability

Name: Semi-Markov Processes and Reliability
Brand: Birkhauser Boston Inc
SKU: 9780817641962
Price: 106.02 EUR
Availability: InStock

Autor: N. Limnios, G. Oprisan

Jazyk:

Väzba: Pevná

Vydavateľ: Birkhauser Boston Inc

Dostupnosť: Skladom u dodávateľa v malom množstve

Odosielame za 13-18 dní

106.02 €

The theory of stochastic processes, for science and engineering, can be considered as an extension o...

Informácie o knihe

Autor

N. Limnios, G. Oprisan

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2001

Stránok

222

EAN

9780817641962

ISBN

0817641963

Enbook ID

01399291

Vydavateľ

Birkhauser Boston Inc

Hmotnosť

636

Rozmery

178 x 254 x 17

Kompletný popis

The theory of stochastic processes, for science and engineering, can be considered as an extension of probability theory allowing modeling of the evolution of systems over time. The modern theory of Markov processes has its origins in the studies of A.A. Markov (1856-1922) on sequences of experiments "connected in a chain" and in the attempts to describe mathematically the physical phenomenon Brownian motion. The theory of stochastic processes entered in a period of intensive development when the idea of Markov property was brought in. §This book is a modern overall view of semi-Markov processes and its applications in reliability. It is accessible to readers with a first course in Probability theory (including the basic notions of Markov chain). The text contains many examples which aid in the understanding of the theoretical notions and shows how to apply them to concrete physical situations including algorithmic simulations. Many examples of the concrete applications in reliability are given. §Features:§Processes associated to semi-Markov kernel for general and discrete state spaces§Asymptotic theory of processes and of additive functionals§Statistical estimation of semi-Markov kernel and of reliability function§Monte Carlo simulation§Applications in reliability and maintenance§The book is a valuable resource for understanding the latest developments in Semi-Markov Processes and reliability. Practitioners, researchers and professionals in applied mathematics, control and engineering who work in areas of reliability, lifetime data analysis, statistics, probability, and engineering will find this book an up-to-date overview of the field.

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