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Semi-Markov Processes and Reliability

Name: Semi-Markov Processes and Reliability
Brand: Springer-Verlag New York Inc.
SKU: 9781461266402
Price: 427.69 PLN
Availability: InStock

Autor: N. Limnios, G. Oprisan

Język:

Oprawa: Miękka

Wydawca: Springer-Verlag New York Inc.

Dostępność: Dostępna u dostawcy

Wysyłamy za 5-8 dni

427.69 zł

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

Informacje o książce

Autor

N. Limnios, G. Oprisan

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2012

strony

222

EAN

9781461266402

ISBN

1461266408

Enbook ID

02232760

Wydawca

Springer-Verlag New York Inc.

Waga

463

Wymiary

178 x 254 x 14

Pełny opis

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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