Probability and Statistics by Example

2. Auflage 2014
ISBN: 978-1-107-60358-5
Verlag: Cambridge University Press

Buch, Englisch, 470 Seiten, Format (B × H): 170 mm x 244 mm, Gewicht: 814 g

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.

Autoren/Hrsg.

Suhov, Yuri

Kelbert, Mark

Inhaltsverzeichnis

Preface to the second edition; Preface to the first edition; Part I. Basic Probability: 1. Discrete outcomes; 2. Continuous outcomes; Part II. Basic Statistics: 3. Parameter estimation; 4. Hypothesis testing; 5. Tripos examination questions in IB Statistics; Appendix. Tables of random variables and probability distributions; Bibliography; Index.

Über Autor(innen)

Kelbert, Mark
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).

Suhov, Yuri
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.