Probability Theory and Statistical Applications

Beschreibung

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

Autor*in

Peter Zörnig

Themen in »Probability Theory and Statistical Applications«

Wahrscheinlichkeitstheorie Univariate and multivariate models Probability measures Transforms of random variables Generating functions Convergence of random variables Order statistics Statistical applications

Stimmen zu »Probability Theory and Statistical Applications«

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