Probability and Statistics by Example

Mark Kelbert

ISBN 10: 1107603587 / ISBN 13: 9781107603585

Published by Cambridge University Press, 2014

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9781107603585

Bibliographic Details

• Title: Probability and Statistics by Example
• Publisher: Cambridge University Press
• Publication Date: 2014
• Language: English
• ISBN 10: 1107603587
• ISBN 13: 9781107603585
• Binding: Taschenbuch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 244W x 170H x 25D millimeters 244 millimeters width by 170 millimeters height by 25 millimeters depth
• Weight: 814 grams

About this title

Synopsis

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.

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 São 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).