Probability With Statistical Applications - Rilegato

Schinazi, Rinaldo B.

Rilegato

ISBN 10: 3030936341 ISBN 13: 9783030936341

Casa editrice: Birkhauser, 2022

Riassunto

<p>This second edition textbook offers a practical introduction to probability for undergraduates at all levels with different backgrounds and views towards applications. Calculus is a prerequisite for understanding the basic concepts, however the book is written with a sensitivity to students’ common difficulties with calculus that does not obscure the thorough treatment of the probability content. The first six chapters of this text neatly and concisely cover the material traditionally required by most undergraduate programs for a first course in probability.</p><p>The&nbsp;comprehensive text&nbsp;includes a multitude of new examples and exercises, and careful revisions throughout. Particular attention is given to the expansion of the last three chapters of the book with the addition of one entirely new chapter (9) on ’Finding and Comparing Estimators.’ The classroom-tested material presented in this second edition forms the basis for a second course introducing mathematical statistics.</p>

Su questo libro

Informazioni sull?autore

Rinaldo Schinazi is a professor at the University of Colorado Springs. He teaches a wide range of probability and statistics courses. His research is in probability models for population biology.

Dalla quarta di copertina

<div>This textbook, now in its third edition, offers a practical introduction to probability with statistical applications, covering material for both a first and second undergraduate probability course. The author focuses on essential concepts that every student should thoroughly understand. The content is organized into brief, easy-to-follow chapters, motivated by plenty of examples.&nbsp;</div><div><br></div><div>The first part of the book focuses on classical discrete probability distributions, then goes on to study continuous distributions, confidence intervals, and statistical tests. The following section introduces more advanced concepts suitable for a second course in probability, such as random vectors and sums of random variables. The last part of the book is dedicated to mathematical statistics concepts such as estimation, sufficiency, Bayes' estimation, and multiple regression. This third edition includes a new chapter on combinatorics and a more distinct separation between discrete and continuous distributions. Some of the longer chapters in the previous editions have been divided into shorter chapters to allow for more flexible teaching.</div><div><br></div><div><i>Probability with Statistical Applications, Third Edition </i>is intended for undergraduate students taking a first course in probability; later chapters are also suited for a second course in probability and mathematical statistics. Calculus is the only prerequisite; prior knowledge of probability is not required.</div><div><br></div>

Dettagli dell?edizione

• Editore: Birkhauser
• Data di pubblicazione: 2022
• ISBN 10: 3030936341
• ISBN 13: 9783030936341
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero edizione: 3
• Numero di pagine: 376
• Contatto del produttore: non disponibile