A Basic Course in Measure and Probability - Theory for Applications (Hardcover, New)

Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statistics and related fields of application (biostatistics, econometrics, finance, meteorology, machine learning, and so on) who want to shore up their mathematical foundation. The authors establish common ground for students of varied interests which will serve as a firm 'take-off point' for them as they specialize in areas that exploit mathematical machinery.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	2014
First published:	2014
Authors:	Ross Leadbetter • Stamatis Cambanis • Vladas Pipiras
Dimensions:	231 x 155 x 23mm (L x W x T)
Format:	Hardcover
Pages:	376
Edition:	New
ISBN-13:	978-1-107-02040-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis Promotions
LSN:	1-107-02040-9
Barcode:	9781107020405

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