Probability Theory and Statistical Applications: A Profound Treatise for Self-Study - Couverture souple

Zörnig, Peter

Couverture souple

ISBN 10 : 3111700690 ISBN 13 : 9783111700694

Editeur : De Gruyter, 2025

Synopsis

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

A propos du livre

À propos de l?auteur

Peter Zörnig, University of Brasilia, Asa Norte, Brazil.

Détails de l'édition

• Éditeur: De Gruyter
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 3111700690
• ISBN 13: 9783111700694
• Reliure: Broché
• Nombre de pages: 293
• Coordonnées du fabricant: non disponible