260 pages; Part 1 only: "Probability" begins with the historical background of probability theory and continues with a discussion of various concepts using actual models taken from the natural sciences. Classical and axiomatic definitions and the basic theorems of probability theory are presented in the second chapter. The remainder of the book examines the following topics: random variables, probability distributions, characteristic and generating functions, stochastic convergence, limit theorem, and sampling distribution.; Hardcover with slightly rubbed and scratched boards and some wear on edges. Book is clean inside (without any markings) and solid. Good condition. Size: 8vo.

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D�tails bibliographiques

Titre

Introduction to Probability and statistics. Part I: Probability

�diteur

Marcel Dekker, New York

Date de parution

1974

ISBN � 10 chiffres

0824761103

ISBN � 13 chiffres

9780824761103

Reliure

Hard Cover

�tat de l'article

Good

Type de livre

Livre

Catalogues du vendeur

A propos de ce titre

Pr�sentation de l'�diteur

Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit theorems - and provides an introduction to various types of statistical problems, covering the broad range of statistical inference.;Requiring a prerequisite in calculus for complete understanding of the topics discussed, the Second Edition contains new material on: univariate distributions; multivariate distributions; large-sample methods; decision theory; and applications of ANOVA.;A primary text for a year-long undergraduate course in statistics (but easily adapted for a one-semester course in probability only), Introduction to Probability and Statistics is for undergraduate students in a wide range of disciplines-statistics, probability, mathematics, social science, economics, engineering, agriculture, biometry, and education.

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