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

8vo (24 cm), XV, [1], 486, [2] pp. Publisher's laminated boards (minor shelf wear; binding slightly dusted; ownership entry on the front free endpaper). "Many current texts in the area are just cookbooks, and as a result, students often do not understand why they perform the methods they are taught or why those methods work. The strength of this book is that it addresses these shortcomings by using examples, often from real life and using real data, to show how the fundamentals of probabilistic and statistical theories arise intuitively. 'A Modern Introduction to Probability and Statistics' includes numerous quick exercises to provide direct feedback to students and over 350 exercises, half of which have answers, with half of those offering full solutions. A companion website provides access to the data files used in the text and, for instructors, the remaining solutions. The only prerequisite is a first course in calculus. The text covers standard statistics and probability material, progresses beyond traditional parametric models to the Poisson process, and introduces modern methods such as the bootstrap." (from the blurb). Seller Inventory # 009113

Bibliographic Details

Title: A Modern Introduction to Probability and ...

Publisher: Springer

Publication Date: 2005

Binding: Hardcover

Condition: Very Good

About this title

Synopsis:

Many current texts in the area are just cookbooks and, as a result, students do not know why they perform the methods they are taught, or why the methods work. The strength of this book is that it readdresses these shortcomings; by using examples, often from real life and using real data, the authors show how the fundamentals of probabilistic and statistical theories arise intuitively. 

A Modern Introduction to Probability and Statistics has numerous quick exercises to give direct feedback to students. In addition there are over 350 exercises, half of which have answers, of which half have full solutions. A website gives access to the data files used in the text, and, for instructors, the remaining solutions. The only pre-requisite is a first course in calculus; the text covers standard statistics and probability material, and develops beyond traditional parametric models to the Poisson process, and on to modern methods such as the bootstrap.

About the Author:

Michel Dekking, Cor Kraaikamp, Rik Lopuhaä and Ludolf Meester are professors in the Department of Applied Mathematics at TU Delft, The Netherlands. The material in this book has been successfully taught there for several years, and at the University of Leiden, The Netherlands, and Wesleyan University, USA, since 2003.