Paperback. Probability and statistics are as much about intuition and problem solving as they are about theorem proving. Consequently, students can find it very difficult to make a successful transition from lectures to examinations to practice because the problems involved can vary so much in nature. Since the subject is critical in so many applications from insurance to telecommunications to bioinformatics, the authors have collected more than 200 worked examples and examination questions with complete solutions to help students develop a deep understanding of the subject rather than a superficial knowledge of sophisticated theories. With amusing stories and historical asides sprinkled throughout, this enjoyable book will leave students better equipped to solve problems in practice and under exam conditions. A valuable resource for students and teachers alike, this second edition is packed with over 200 worked examples and exam questions with solutions. It promotes a deep understanding of the subject rather than a superficial knowledge of the theory, equipping students to solve problems in practice and under exam conditions. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Bibliographic Details

Title: Probability and Statistics by Example: Volume 1, Basic Probability and Statistics (Paperback)
Publisher: Cambridge University Press, Cambridge
Publication Date: 2014
Language: English
ISBN 10: 1107603587
ISBN 13: 9781107603585
Binding: Paperback
Edition: 2nd Edition
Condition: new

About this title

Synopsis

A valuable resource for students and teachers alike, this second edition contains more than 200 worked examples and exam questions.

About the Authors

Yuri Suhov is a Professor of Applied Probability in the Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge (Emeritus). He is also affiliated to the University of S�o Paolo in Brazil and to the Moscow Institute of Information Transmission Problems.

Mark Kelbert is a Reader in Statistics in the Department of Mathematics at Swansea University. For many years he has also been associated with the Moscow Institute of Information Transmission Problems and the International Institute of Earthquake Prediction Theory and Mathematical Geophysics (Moscow).

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