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

3,74 durchschnittliche Bewertung
( 23 Bewertungen bei Goodreads )
 
9781852338961: A Modern Introduction to Probability and Statistics: Understanding Why and How (Springer Texts in Statistics)

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

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

From the Back Cover:

Probability and Statistics are studied by most science students, usually as a second- or third-year course. 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 can show how the fundamentals of probabilistic and statistical theories arise intuitively. It provides a tried and tested, self-contained course, that can also be used for self-study.

A Modern Introduction to Probability and Statistics has numerous quick exercises to give direct feedback to the students. In addition the book contains over 350 exercises, half of which have answers, of which half have full solutions. A website at www.springeronline.com/1-85233-896-2 gives access to the data files used in the text, and, for instructors, the remaining solutions. The only pre-requisite for the book 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 useful modern methods such as the bootstrap.

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.

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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Neu kaufen Angebot ansehen

Versand: EUR 29,50
Von Deutschland nach USA

Versandziele, Kosten & Dauer

In den Warenkorb

Beste Suchergebnisse beim ZVAB

1.

F. M Dekking
Verlag: Springer London Ltd Feb 2007 (2007)
ISBN 10: 1852338962 ISBN 13: 9781852338961
Neu Anzahl: 2
Anbieter
AHA-BUCH GmbH
(Einbeck, Deutschland)
Bewertung
[?]

Buchbeschreibung Springer London Ltd Feb 2007, 2007. Sonstige Video. Buchzustand: Neu. Neuware - Suitable for self studyUse 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 488 pp. Englisch. Artikel-Nr. 9781852338961

Weitere Informationen zu diesem Verkäufer | Frage an den Anbieter

Neu kaufen
EUR 34,68
Währung umrechnen

In den Warenkorb

Versand: EUR 29,50
Von Deutschland nach USA
Versandziele, Kosten & Dauer