An introduction to stochastic processes with applications to biology /

"The second edition of a bestseller, this textbook delineates stochastic processes, emphasizing applications in biology. It includes MATLAB throughout the book to help with the solutions of various problems. The book is organized according to the three types of stochastic processes: discrete t...

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Main Author: 360264 Allen, Linda J. S.
Format:
Language:eng
Published: Boca Raton, FL : Chapman & Hall/CRC, 2011
Subjects:
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author 360264 Allen, Linda J. S.
author_facet 360264 Allen, Linda J. S.
author_sort 360264 Allen, Linda J. S.
collection OCEAN
description "The second edition of a bestseller, this textbook delineates stochastic processes, emphasizing applications in biology. It includes MATLAB throughout the book to help with the solutions of various problems. The book is organized according to the three types of stochastic processes: discrete time Markov chains, continuous time Markov chains and continuous time and state Markov processes. It contains a new chapter on the biological applications of stochastic differential equations and new sections on alternative methods for derivation of a stochastic differential equation, data and parameter estimation, Monte Carlo simulation, and more"
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institution Universiti Teknologi Malaysia - OCEAN
language eng
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publishDate 2011
publisher Boca Raton, FL : Chapman & Hall/CRC,
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spelling KOHA-OAI-TEST:4509822020-12-19T17:16:23ZAn introduction to stochastic processes with applications to biology / 360264 Allen, Linda J. S. Boca Raton, FL : Chapman & Hall/CRC,2011eng "The second edition of a bestseller, this textbook delineates stochastic processes, emphasizing applications in biology. It includes MATLAB throughout the book to help with the solutions of various problems. The book is organized according to the three types of stochastic processes: discrete time Markov chains, continuous time Markov chains and continuous time and state Markov processes. It contains a new chapter on the biological applications of stochastic differential equations and new sections on alternative methods for derivation of a stochastic differential equation, data and parameter estimation, Monte Carlo simulation, and more"Includes bibliographical references and index "The second edition of a bestseller, this textbook delineates stochastic processes, emphasizing applications in biology. It includes MATLAB throughout the book to help with the solutions of various problems. The book is organized according to the three types of stochastic processes: discrete time Markov chains, continuous time Markov chains and continuous time and state Markov processes. It contains a new chapter on the biological applications of stochastic differential equations and new sections on alternative methods for derivation of a stochastic differential equation, data and parameter estimation, Monte Carlo simulation, and more"PSZJBLStochastic processesBiomathematicsURN:ISBN:9781439818824
spellingShingle Stochastic processes
Biomathematics
360264 Allen, Linda J. S.
An introduction to stochastic processes with applications to biology /
title An introduction to stochastic processes with applications to biology /
title_full An introduction to stochastic processes with applications to biology /
title_fullStr An introduction to stochastic processes with applications to biology /
title_full_unstemmed An introduction to stochastic processes with applications to biology /
title_short An introduction to stochastic processes with applications to biology /
title_sort introduction to stochastic processes with applications to biology
topic Stochastic processes
Biomathematics
work_keys_str_mv AT 360264allenlindajs anintroductiontostochasticprocesseswithapplicationstobiology
AT 360264allenlindajs introductiontostochasticprocesseswithapplicationstobiology