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 ti...

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Autor principal: Allen, Linda J. S.
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Processo estocástico.
Biomathematics.
Endereço do item:https://app.bczm.ufrn.br/home/#/item/187692
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spelling oai:localhost:123456789-1231732022-11-30T22:50:36Z An introduction to stochastic processes with applications to biology / Allen, Linda J. S. Processo estocástico. Biomathematics. "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"-- 1 2022-10-06T05:54:26Z 2022-10-06T05:54:26Z c2011. Livro 519.216 A425i 9781439818824 (hardback)#$&1439818827 (hardback) 187692 https://app.bczm.ufrn.br/home/#/item/187692 https://app.bczm.ufrn.br/home/#/item/187692
institution Acervo SISBI
collection SIGAA
topic Processo estocástico.
Biomathematics.
spellingShingle Processo estocástico.
Biomathematics.
Allen, Linda J. S.
An introduction to stochastic processes with applications to biology /
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"--
format Livro
author Allen, Linda J. S.
author_facet Allen, Linda J. S.
author_sort Allen, Linda J. S.
title An introduction to stochastic processes with applications to biology /
title_short 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_sort introduction to stochastic processes with applications to biology /
publishDate 2022
url https://app.bczm.ufrn.br/home/#/item/187692
work_keys_str_mv AT allenlindajs anintroductiontostochasticprocesseswithapplicationstobiology
AT allenlindajs introductiontostochasticprocesseswithapplicationstobiology
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