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Multivariable Probability Distributions and Stochastic Processes

Frankel, Ernst G.

Abstract Up to this point, the reliability of a system has been determined by use of simple probability concepts and logical arguments. However, for more complex systems, especially those that are maintained, the more powerful techniques of stochastic process theory will be necessary in order to obtain effective solutions. Before discussing stochastic processes though, it may be useful to review multivariable probability distributions.

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Multivariable Probability Distributions and Stochastic Processes

Frankel, Ernst G.

Abstract Up to this point, the reliability of a system has been determined by use of simple probability concepts and logical arguments. However, for more complex systems, especially those that are maintained, the more powerful techniques of stochastic process theory will be necessary in order to obtain effective solutions. Before discussing stochastic processes though, it may be useful to review multivariable probability distributions.

Multivariable Probability Distributions and Stochastic Processes

Frankel, Ernst G.

Abstract Up to this point, the reliability of a system has been determined by use of simple probability concepts and logical arguments. However, for more complex systems, especially those that are maintained, the more powerful techniques of stochastic process theory will be necessary in order to obtain effective solutions. Before discussing stochastic processes though, it may be useful to review multivariable probability distributions.

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Dokumentinformationen

Titel:

Multivariable Probability Distributions and Stochastic Processes

Beteiligte:

Frankel, Ernst G. (Autor:in)

Erschienen in:

Systems Reliability and Risk Analysis ; 128-174

Engineering Applications of Systems Reliability and Risk Analysis ; 1

Erscheinungsdatum:

01.01.1984

Format / Umfang:

47 pages

ISBN:

978-94-009-6922-3 , 978-94-009-6920-9

ISSN:

DOI:

https://doi.org/10.1007/978-94-009-6920-9_7

Medientyp:

Aufsatz/Kapitel (Buch)

Format:

Elektronische Ressource

Sprache:

Englisch

Schlagwörter:

Markov Process , Joint Probability Density Function , Stochastic Matrix , Joint Distribution Function , Minor Determinant Engineering , Quality Control, Reliability, Safety and Risk , Environmental Management

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