A Modern Introduction to Probability and Statistics: Understanding Why and How (Springer Texts in Statistics)

Dekking, F.M.,Kraaikamp, C.,Lopuhaä, H.P.,Meester, L.E.

ISBN 10: 1852338962 / ISBN 13: 9781852338961

Published by Springer, 2005

About this Item

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Bibliographic Details

Title: A Modern Introduction to Probability and ...

Publisher: Springer

Publication Date: 2005

Binding: hardcover

Condition: Very Good

About this title

Synopsis:

Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included - this is a modern method missing in many other books

Review:

From the reviews:

"[the material is] superbly motivated with interest-grabbing examples... exercises excellent and plentiful." Edward Williams, University of Michigan-Dearborn, USA

"... it is a notoriously hard task to introduce probability and statistics with a mix of intuition and mathematics to keep students motivated. Therefore, I very much welcome this book and recommend it as course material." Sara van de Geer, Leiden University, The Netherlands 

"This textbook provides a well-written first course in probability and statistics...It is a book that has been written based on the long teaching experience of the authors and I would certainly recommend it for university coursework." Short Book Reviews of the International Statistical Institute,  December 2005

"This book has numerous quick exercises to give direct feedback to the students. ... A website at www.springeronline.com/978-1-85233-896-1 gives access to the data files used in the text ... . This will be a key text for undergraduates in computer science, physics, mathematics, chemistry, biology and business studies who are studying a mathematical statistics course, and also for more intensive engineering statistics courses for undergraduates in all engineering subjects." (Rainer Beedgen, Zentralblatt MATH, Vol. 1079, 2006)

"The book is designed for a one-semester introductory course in probability and statistics basics for engineering students. ... It can also be used by students in other more mathematically oriented majors such as applied mathematics with more emphasis on the mathematics and additional coverage in topics such as combinatorics, conditional expectation, and generating functions. ... More elaborate exercises and real datasets are given at the end of each chapter." (Arthur B. Yeh, Technometrics, Vol. 49 (3), August, 2007)