A Modern Introduction to Probability and Statistics

F. M. Dekking

ISBN 10: 1849969523 / ISBN 13: 9781849969529

Editore: Springer London, Springer London Okt 2010, 2010

Riguardo questo articolo

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 504 pp. Englisch.

Codice articolo 9781849969529

Dati bibliografici

• Titolo: A Modern Introduction to Probability and Statistics
• Editore: Springer London, Springer London Okt 2010
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 1849969523
• ISBN 13: 9781849969529
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 28 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 28 millimetri di profondità
• Peso: 756 grammi

Descrizione articolo

Riassunto

Probability and Statistics are studied by most science students. 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. This book 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. There are numerous quick exercises to give direct feedback to students, and 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 prerequisite is a first course in calculus.

Informazioni sull?autore

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.