Probability and Statistics by Example: Volume 2, Markov Chains: A Primer in Random Processes and their Applications

Name: Probability and Statistics by Example: Volume 2, Markov Chains: A Primer in Random Processes and their Applications
Brand: Cambridge University Press
SKU: 9780521847674
Price: 247.63 EUR
Availability: InStock

Автор: Yuri SuhovMark Kelbert

Език:

Корици: С твърди корици

Издател: Cambridge University Press

Наличност: Външен склад

Изпращаме след 14-21 дни

247.63 € 484.33 лв

Probability and Statistics are as much about intuition and problem solving as they are about theorem...

Информация за книгата

Автор

Yuri SuhovMark Kelbert

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2008

страници

498

EAN

9780521847674

ISBN

0521847672

Enbook ID

02046826

Издател

Cambridge University Press

Теглоt

1140

Размери

180 x 250 x 25

Пълно описание

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.

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Probability and Statistics by Example: Volume 2, Markov Chains: A Primer in Random Processes and their Applications

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