Probability Theory and Statistical Applications - A Profound Treatise for Self-Study (Paperback, Digital original)

This accessible and easy-to-read book provides many examples to illustrate diverse topics in probability and statistics, from initial concepts up to advanced calculations. Special attention is devoted e.g. to independency of events, inequalities in probability and functions of random variables. The book is directed to students of mathematics, statistics, engineering, and other quantitative sciences, in particular to readers who need or want to learn by self-study. The author is convinced that sophisticated examples are more useful for the student than a lengthy formalism treating the greatest possible generality. Contents: Mathematics revision Introduction to probability Finite sample spaces Conditional probability and independence One-dimensional random variables Functions of random variables Bi-dimensional random variables Characteristics of random variables Discrete probability models Continuous probability models Generating functions in probability Sums of many random variables Samples and sampling distributions Estimation of parameters Hypothesis tests

General

Imprint:	De Gruyter
Country of origin:	Germany
Series:	De Gruyter Textbook
Release date:	July 2016
First published:	2016
Authors:	Peter Zoernig
Dimensions:	240 x 170 x 13mm (L x W x T)
Format:	Paperback - Paperback (DE)
Pages:	293
Edition:	Digital original
ISBN-13:	978-3-11-036319-7
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	3-11-036319-4
Barcode:	9783110363197

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