Description

Book Synopsis
A comprehensive textbook for undergraduate courses in introductory probability. Offers a case study approach, with examples from engineering and the social and life sciences. Updated second edition includes advanced material on stochastic processes. Suitable for junior and senior level courses in industrial engineering, mathematics, business, biology, and social science departments.

Table of Contents
Sample Spaces and Events.

Probability.

Random Variables and Their Distributions.

Sets of Random Variables and Random Sequences.

Functions of Random Variables.

Expectation.

Special Distributions.

Fitting Distributions to Data.

Random Processes: Introduction and Examples.

Discrete Parameter Markov Chains.

Continuous Parameter Markov Chains.

Limiting Distribution of Continuous Parameter MarkovProcesses.

Introduction to Queueing Theory.

Appendixes.

Author and Subject Index.

Name Index.

Probability and Random Processes

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    A Paperback / softback by A. Bruce Clarke, Ralph L. Disney

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      View other formats and editions of Probability and Random Processes by A. Bruce Clarke

      Publisher: John Wiley & Sons Inc
      Publication Date: 24/04/1985
      ISBN13: 9780471085355, 978-0471085355
      ISBN10: 0471085359
      Also in:
      Mechanical engineering and materials

      Description

      Book Synopsis
      A comprehensive textbook for undergraduate courses in introductory probability. Offers a case study approach, with examples from engineering and the social and life sciences. Updated second edition includes advanced material on stochastic processes. Suitable for junior and senior level courses in industrial engineering, mathematics, business, biology, and social science departments.

      Table of Contents
      Sample Spaces and Events.

      Probability.

      Random Variables and Their Distributions.

      Sets of Random Variables and Random Sequences.

      Functions of Random Variables.

      Expectation.

      Special Distributions.

      Fitting Distributions to Data.

      Random Processes: Introduction and Examples.

      Discrete Parameter Markov Chains.

      Continuous Parameter Markov Chains.

      Limiting Distribution of Continuous Parameter MarkovProcesses.

      Introduction to Queueing Theory.

      Appendixes.

      Author and Subject Index.

      Name Index.

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