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Applied probabilityfrom random seque...

Girardin, Valerie.

Applied probabilityfrom random sequences to stochastic processes /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applied probabilityby Valerie Girardin, Nikolaos Limnios.
其他題名:	from random sequences to stochastic processes /
作者:	Girardin, Valerie.
其他作者:	Limnios, Nikolaos.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xiii, 260 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Stochastic processes.
電子資源:	https://doi.org/10.1007/978-3-319-97412-5
ISBN:	9783319974125$q(electronic bk.)

Applied probabilityfrom random sequences to stochastic processes /
Girardin, Valerie.

Applied probabilityfrom random sequences to stochastic processes /[electronic resource] :by Valerie Girardin, Nikolaos Limnios. - Cham :Springer International Publishing :2018. - xiii, 260 p. :ill., digital ;24 cm.

Preface -- Independent Random Sequences -- Conditions and Martingales -- Markov Chains -- Continuous Time Stochastic Processes -- Markov and Semi-Markov Processes -- Further Reading.

This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes. Pursuing a pedagogic approach, the content follows a path of increasing complexity, from the simplest random sequences to the advanced stochastic processes. Illustrations are provided from many applied fields, together with connections to ergodic theory, information theory, reliability and insurance. The main content is also complemented by a wealth of examples and exercises with solutions.

ISBN: 9783319974125$q(electronic bk.)

Standard No.: 10.1007/978-3-319-97412-5doiSubjects--Topical Terms:

181874
Stochastic processes.

LC Class. No.: QA274.A67 / G573 2018

Dewey Class. No.: 519.2

Applied probabilityfrom random sequences to stochastic processes /
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505 0 $a Preface -- Independent Random Sequences -- Conditions and Martingales -- Markov Chains -- Continuous Time Stochastic Processes -- Markov and Semi-Markov Processes -- Further Reading.
520 $a This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes. Pursuing a pedagogic approach, the content follows a path of increasing complexity, from the simplest random sequences to the advanced stochastic processes. Illustrations are provided from many applied fields, together with connections to ergodic theory, information theory, reliability and insurance. The main content is also complemented by a wealth of examples and exercises with solutions.
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