Probability, Statistics, and Stochastic Processes - Hardcover

Olofsson, Peter

 
9780471679691: Probability, Statistics, and Stochastic Processes
Hardcover
ISBN 10: 0471679690 ISBN 13: 9780471679691
Verlag: John Wiley & Sons, 2005

Inhaltsangabe

This text begins with chapters that develop probability theory and introduce the axioms of probability, random variables, and joint distributions. The next sections introduce limit theorems and simulation. Also included is a chapter on statistical inference, with a section on Bayesian statistics which is an important, though often neglected, topic for undergraduate-level texts. Markov chains in discrete and continuous time is also discussed within the book. More than 400 examples are interspersed throughout the text to help illustrate concepts and theory and to assist the reader to develop an intuitive sense of the subject. Readers will find many of the examples to be both entertaining and thought provoking. This is also true for the carefully selected problems that appear at the end of each chapter.

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

Über die Autorin bzw. den Autor

PETER OLOFSSON, PHD, is currently a Visiting Associate Professor at Rice University. His research interests are in the field of stochastic processes, including the theory and biological applications of branching processes. He has published numerous articles in leading journals and has given seminars and conference lectures throughout the United States and Europe.

Von der hinteren Coverseite

A mathematical and intuitive approach to probability, statistics, and stochastic processes
 
This textbook provides a unique, balanced approach to probability, statistics, and stochastic processes. Readers gain a solid foundation in all three fields that serves as a stepping stone to more advanced investigations into each area. This text combines a rigorous, calculus-based development of theory with a more intuitive approach that appeals to readers' sense of reason and logic, an approach developed through the author's many years of classroom experience.
 
The text begins with three chapters that develop probability theory and introduce the axioms of probability, random variables, and joint distributions. The next two chapters introduce limit theorems and simulation. Also included is a chapter on statistical inference with a section on Bayesian statistics, which is an important, though often neglected, topic for undergraduate-level texts. Markov chains in discrete and continuous time are also discussed within the book.
 
More than 400 examples are interspersed throughout the text to help illustrate concepts and theory and to assist the reader in developing an intuitive sense of the subject. Readers will find many of the examples to be both entertaining and thought provoking. This is also true for the carefully selected problems that appear at the end of each chapter.
 
This book is an excellent text for upper-level undergraduate courses. While many texts treat probability theory and statistical inference or probability theory and stochastic processes, this text enables students to become proficient in all three of these essential topics. For students in science and engineering who may take only one course in probability theory, mastering all three areas will better prepare them to collect, analyze, and characterize data in their chosen fields.

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

Verlag
John Wiley & Sons
Erscheinungsdatum
2005
Sprache
Englisch
ISBN 10 
0471679690
ISBN 13 
9780471679691
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
504
Kontakt zum Hersteller
Wiley-Blackwell
https://www.wiley.com/en-in

Via Bruno Buozzi, 24/26,
Granarolo dell'Emilia BO,
40057
Italien

Weitere beliebte Ausgaben desselben Titels

9780470889749: Probability, Statistics, and Stochastic Processes

Vorgestellte Ausgabe

ISBN 10:  0470889748 ISBN 13:  9780470889749
Verlag: Wiley, 2012
Hardcover