Continuous-Time Markov Chains: An Applications-Oriented Approach (Springer Series in Statistics) - Image 1

Price loading...

Springer Continuous-Time Markov Chains: An Applications-Oriented Approach (Springer Series in Statistics)

Name: Continuous-Time Markov Chains: An Applications-Oriented Approach (Springer Series in Statistics)
Brand: Springer

Applied Mathematics

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Continuous time parameter Markov chains have been useful for modeling various random phenomena occurring in queueing theory, genetics, demography, epidemiology, and competing populations. This is the first book about those aspects of the theory of continuous time Markov chains which are useful in applications to such areas. It studies continuous time Markov chains through the transition function and corresponding q-matrix, rather than sample paths. An extensive discussion of birth and death processes, including the Stieltjes moment problem, and the Karlin-McGregor method of solution of the birth and death processes and multidimensional population processes is included, and there is an extensive bibliography. Virtually all of this material is appearing in book form for the first time.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 1461277728
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 18 September 2011
Listed Since: 12 July 2012

Barcode

No barcode data available

Springer Continuous-Time Markov Chains: An Applications-Oriented Approach (Springer Series in Statistics)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Continuous-Time Markov Chains and Applications: A Two-Time-Scale Approach: 37 (Stochastic Modelling and Applied Probability, 37)

Markov Chains: Models, Algorithms and Applications: 189 (International Series in Operations Research & Management Science, 189)

Markov Chains: Models, Algorithms and Applications: 189 (International Series in Operations Research & Management Science, 189)

Continuous-Time Markov Decision Processes: Borel Space Models and General Control Strategies: 97 (Probability Theory and Stochastic Modelling, 97)

Markov Chains (Springer Series in Operations Research and Financial Engineering)

Markov Chains: Models, Algorithms and Applications: 83 (International Series in Operations Research & Management Science, 83)

Markov Processes for Stochastic Modeling: 6 (Stochastic Modeling Series)

An Introduction to Stochastic Processes with Applications to Biology

Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of Performance Modeling

Markov Processes, Structure and Asymptotic Behavior: Structure and Asymptotic Behavior: 184 (Grundlehren der mathematischen Wissenschaften, 184)

Stochastic Processes with Applications (Classics in Applied Mathematics)

Elements of Queueing Theory: Palm Martingale Calculus and Stochastic Recurrences: 26 (Stochastic Modelling and Applied Probability, 26)

Elements of Nonlinear Time Series Analysis and Forecasting (Springer Series in Statistics)

Basics of Applied Stochastic Processes (Probability and Its Applications)

Markov Processes for Stochastic Modeling

An Introduction to Applied Probability: 77 (Texts in Applied Mathematics, 77)

Adventures in Stochastic Processes

Markov Processes (Advances in Applied Mathematics)

Markov Chains: Theory and Applications (Iste)

Markov Decision Processes with Applications to Finance (Universitext)

An Introduction to Stochastic Processes and Their Applications (Springer Series in Statistics)

Essentials of Stochastic Processes (Springer Texts in Statistics)

An Introduction to Markov Processes: 230 (Graduate Texts in Mathematics, 230)

Non-negative Matrices and Markov Chains (Springer Series in Statistics)