Probability and statistics by example. 2, Markov chains : a primer in random processes and their applications / Yuri Suhov, Mark Kelbert.

Format:

Book

Author/Creator:

Suhov, Yu. M., author.

Kelbert, M. (Mark), author.

Language:

English

Subjects (All):

Probabilities.

Mathematical statistics.

Physical Description:

1 online resource (ix, 487 pages) : digital, PDF file(s).

Other Title:

Probability & Statistics by Example

Place of Publication:

Cambridge : Cambridge University Press, 2008.

Language Note:

English

Summary:

Probability and Statistics are as much about intuition and problem solving as they are about theorem proving. Because of this, students can find it very difficult to make a successful transition from lectures to examinations to practice, since the problems involved can vary so much in nature. Since the subject is critical in many modern applications such as mathematical finance, quantitative management, telecommunications, signal processing, bioinformatics, as well as traditional ones such as insurance, social science andengineering, the authors have rectified deficiencies in traditional lecture-based methods by collecting together a wealth of exercises with complete solutions, adapted to needs and skills of students. Following on from the success of Probability and Statistics by Example: Basic Probability and Statistics, the authors here concentrate on random processes, particularly Markov processes, emphasising modelsrather than general constructions. Basic mathematical facts are supplied as and when they are needed andhistorical information is sprinkled throughout.

Contents:

Cover; Half-title; Title; Copyright; Contents; Preface; 1 Discrete-time Markov chains; 2 Continuous-time Markov chains; 3 Statistics of discrete-time Markov chains; Epilogue: Andrei Markov and his Time; Bibliography; Index

Notes:

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Includes bibliographical references and index.

ISBN:

1-107-17567-4

0-511-64950-9

0-511-45413-9

0-511-56786-3

0-511-81364-3

0-511-45517-8

OCLC:

476208089