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Concepts in probability and stochastic modeling / James J. Higgins, Sallie Keller-McNulty.

By: Contributor(s): Material type: TextTextPublisher: Belmont : Duxbury Press, [1995]Copyright date: ©1995Description: xi, 420 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0534231365
  • 9780534231361
Subject(s): DDC classification:
  • 519.2 20
LOC classification:
  • QA273 .H6433 1995
Contents:
1. Basic Probability -- 2. Discrete Random Variables -- 3. Special Discrete Random Variables -- 4. Markov Chains -- 5. Continuous Random Variables -- 6. Special Continuous Random Variables -- 7. Markov Counting and Queuing Processes -- 8. The Distribution of Sums of Random Variables -- 9. Selected Systems Models -- 10. Reliability Models.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Course reserves
SL 3 Day Loan City Campus City Campus Short Loan 3Day 519.2 HIG (Browse shelf(Opens below)) 1 Available A458820B

Applied Stochastic Models

"An Alexander Kugushev book.".

Includes bibliographical references (page 410) and index.

1. Basic Probability -- 2. Discrete Random Variables -- 3. Special Discrete Random Variables -- 4. Markov Chains -- 5. Continuous Random Variables -- 6. Special Continuous Random Variables -- 7. Markov Counting and Queuing Processes -- 8. The Distribution of Sums of Random Variables -- 9. Selected Systems Models -- 10. Reliability Models.

Machine converted from AACR2 source record.

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