The Probability Lifesaver: All the Tools You Need to Understand Chance

Paperback / softback

Main Details

Title The Probability Lifesaver: All the Tools You Need to Understand Chance
Authors and Contributors      By (author) Steven J. Miller
SeriesPrinceton Lifesaver Study Guides
Physical Properties
Format:Paperback / softback
Pages:752
Dimensions(mm): Height 254,Width 178
Category/GenreProbability and statistics
ISBN/Barcode 9780691149554
ClassificationsDewey:519.2
Audience
Tertiary Education (US: College)
Professional & Vocational
Illustrations 8 color illus. 64 line illus. 21 tables.

Publishing Details

Publisher Princeton University Press
Imprint Princeton University Press
Publication Date 16 May 2017
Publication Country United States

Description

The essential lifesaver for students who want to master probability For students learning probability, its numerous applications, techniques, and methods can seem intimidating and overwhelming. That's where The Probability Lifesaver steps in. Designed to serve as a complete stand-alone introduction to the subject or as a supplement for a course, t

Author Biography

Steven J. Miller is associate professor of mathematics at Williams College. He is the coauthor of An Invitation to Modern Number Theory (Princeton) and The Mathematics of Encryption: An Elementary Introduction and the editor of Benford's Law: Theory and Applications (Princeton).

Reviews

"I recommend the book to everyone who is studying and fascinated by statistics."---Singalakha Menziwa, Mathemafrica "Steven J. Miller's The Probability Lifesaver presents, as its subtitle claims, 'all the tools you need to understand chance' in a clear, straightforward manner. . . . For the students that have a good understanding of Calculus, the combination of the probability discussions along with the calculus behind these topics is very beneficial." * MAA Reviews * "The breadth of the book's coverage and its clear, informal tone in addressing highly formal problems remind one of a friendly professor offering unlimited office hours, and the book will be a highly accessible supplement for students working through another, more conventional text. . . . [This is] a volume that deserves to be widely known in educational circles and will likely find its way to the shelves of practicing statisticians who wish to probe below the surface of fundamental theorems that they have learned by rote."---H. Van Dyke Parunak, Computing Reviews