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Stochastic processes / Emanuel Parzen.

By: Material type: TextTextSeries: Classics in applied mathematics ; 24.Publication details: Philadelphia, Pa. : Society for Industrial and Applied Mathematics, 1999.Description: xix, 324 p. : ill. ; 23 cmISBN:
  • 9780898714418 (pbk.) :
  • 9780898714418
Subject(s): DDC classification:
  • 519.2 PAR
LOC classification:
  • QA274 .P37 1999
Online resources:
Contents:
1.Random variables and stochastic processes -- 2.Conditional probability and conditional expectation -- 3.Normal processes and covariance stationary processes -- 4.Renewal counting processes -- 6.Markov chains: discrete parameter -- 7.Markov chains: continuous parameter.
Summary: Explains how and why probability models are applied to scientific fields such as medicine, biology, economics and psychology to solve problems about stochastic processes. Rather than just showing how a problem is solved, it explains why by formulating questions and first steps in the solutions.
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Long Loan TUS: Midlands, Main Library Athlone General Lending 519.2 PAR (Browse shelf(Opens below)) 1 Available 00211189

An unabridged, corrected republication of the work first published by Holden-Day, Oakland, Calif., 1962.

Includes bibliographical references (p. 307-313) and index.

1.Random variables and stochastic processes -- 2.Conditional probability and conditional expectation -- 3.Normal processes and covariance stationary processes -- 4.Renewal counting processes -- 6.Markov chains: discrete parameter -- 7.Markov chains: continuous parameter.

Explains how and why probability models are applied to scientific fields such as medicine, biology, economics and psychology to solve problems about stochastic processes. Rather than just showing how a problem is solved, it explains why by formulating questions and first steps in the solutions.

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