Probability And Statistics By Example


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Probability and Statistics by Example: Basic probability and statistics


Probability and Statistics by Example: Basic probability and statistics

Author: Yu. M. Suhov

language: en

Publisher:

Release Date: 2005


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Probability and Statistics by Example: Volume 1, Basic Probability and Statistics


Probability and Statistics by Example: Volume 1, Basic Probability and Statistics

Author: Yu. M. Suhov

language: en

Publisher: Cambridge University Press

Release Date: 2005-10-13


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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 and engineering, the authors have rectified deficiencies in traditional lecture-based methods by collecting together a wealth of exercises for which they have supplied complete solutions. These solutions are adapted to needs and skills of students. To make it of broad value, the authors supply basic mathematical facts as and when they are needed, and have sprinkled some historical information throughout the text.

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


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

Author: Yuri Suhov

language: en

Publisher: Cambridge University Press

Release Date: 2008-04-24


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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 and engineering, 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, emphasizing models rather than general constructions. Basic mathematical facts are supplied as and when they are needed and historical information is sprinkled throughout.