An introduction to stochastic modeling [electronic resource] / Howard M. Taylor, Samuel Karlin.

An Introduction to Stochastic Modeling.

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Bibliographic Details
Online Access: Full Text (via ScienceDirect)
Main Author: Taylor, Howard M.
Other Authors: Karlin, Samuel, 1923-2007
Format: Electronic eBook
Language:English
Published: Orlando : Academic Press, ©1984.
Subjects:

MARC

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100 1 |a Taylor, Howard M.  |0 http://id.loc.gov/authorities/names/n80123417  |1 http://isni.org/isni/0000000117605805. 
245 1 3 |a An introduction to stochastic modeling  |h [electronic resource] /  |c Howard M. Taylor, Samuel Karlin. 
260 |a Orlando :  |b Academic Press,  |c ©1984. 
300 |a 1 online resource (x, 399 pages) :  |b illustrations. 
336 |a text  |b txt  |2 rdacontent. 
337 |a computer  |b c  |2 rdamedia. 
338 |a online resource  |b cr  |2 rdacarrier. 
504 |a Includes bibliographical references (pages 387-388) and index. 
505 0 |a Front Cover; An Introduction to Stochastic Modeling; Copyright Page; Table of Contents; Prefac; Chapter 1. Introduction; 1.1 Stochastic Modeling; 1.2 Probability Review; 1.3 The Major Discrete Distributions; 1.4 Important Continuous Distributions; 1.5 Some Elementary Exercises; 1.6 Useful Functions, Integrals, and Sums; Chapter 2. Conditional Probability and Conditional Expectation; 2.1 The Discrete Case; 2.2 The Dice Game Craps; 2.3 Random Sums; 2.4 Conditioning on a Continuous Random Variable; Chapter 3. Markov Chains: Introduction; 3.1 Definitions. 
505 8 |a 3.2 Transition Probability Matrices of a Marlcov Chain3.3 Some Markov Chain Models; 3.4 First Step Analysis; 3.5 Some Special Markov Chains; 3.6 Functionals of Random Walks and Success Runs; 3.7 Another Look at First Step Analysis; Chapter 4. The Long Run Behavior of Markov Chains; 4.1 Regular Transition Probability Matrices; 4.2 Examples; 4.3 The Classification of States; 4.4 The Basic Limit Theorem of Markov Chains; 4.5 Reducible Markov Chains; 4.6 Sequential Decisions and Markov Chains; Chapter 5. Poisson Processes; 5.1 The Poisson Distribution and the Poisson Process. 
505 8 |a 5.2 The Law of Rare Events5.3 Distributions Associated with the Poisson Process; 5.4 The Uniform Distribution and Poisson Processes; 5.5 Spatial Poisson Processes; 5.6 Compound and Marked Poisson Processes; Chapter 6. Continuous Time Markov Chains; 6.1 Pure Birth Processes; 6.2 Pure Death Processes; 6.3 Birth and Death Processes; 6.4 The Limiting Behavior of Birth and Death Processes; 6.5 Birth and Death Processes with Absorbing States; 6.6 Finite State Continuous Time Markov Chains; 6.7 Set Valued Processes; Chapter 7. Renewal Phenomena. 
505 8 |a 7.1 Definition of a Renewal Process and Related Concepts7.2 Some Examples of Renewal Processes; 7.3 The Poisson Process Viewed as a Renewal Process; 7.4 The Asymptotic Behavior of Renewal Processes; 7.5 Generalizations and Variations on Renewal Processes; 7.6 Discrete Renewal Theory; Chapter 8. Branching Processes and Population Growth; 8.1 Branching Processes; 8.2 Branching Processes and Generating Functions; 8.3 Geometrically Distributed Offspring; 8.4 Variations on Branching Processes; 8.5 Some Stochastic Models of Plasmid Reproduction and Plasmid Copy Number Partition. 
520 |a An Introduction to Stochastic Modeling. 
546 |a English. 
588 0 |a Print version record. 
650 0 |a Stochastic processes.  |0 http://id.loc.gov/authorities/subjects/sh85128181. 
650 7 |a Stochastic processes.  |2 fast  |0 (OCoLC)fst01133519. 
700 1 |a Karlin, Samuel,  |d 1923-2007.  |0 http://id.loc.gov/authorities/names/n50046910  |1 http://isni.org/isni/0000000110766737. 
776 0 8 |i Print version:  |a Taylor, Howard M.  |t Introduction to stochastic modeling.  |d Orlando : Academic Press, ©1984  |w (DLC) 84070475  |w (OCoLC)11534955. 
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