Introduction to Probability and Statistics / Edition 2

Introduction to Probability and Statistics / Edition 2

by Giri
ISBN-10:
0367402394
ISBN-13:
9780367402396
Pub. Date:
06/19/2019
Publisher:
Taylor & Francis
ISBN-10:
0367402394
ISBN-13:
9780367402396
Pub. Date:
06/19/2019
Publisher:
Taylor & Francis
Introduction to Probability and Statistics / Edition 2

Introduction to Probability and Statistics / Edition 2

by Giri
$84.99
Current price is , Original price is $84.99. You
$84.99 
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Overview

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.

Product Details

ISBN-13: 9780367402396
Publisher: Taylor & Francis
Publication date: 06/19/2019
Series: Statistics: A Series of Textbooks and Monographs , #136
Edition description: 2nd ed.
Pages: 560
Product dimensions: 6.00(w) x 9.00(h) x (d)

Table of Contents

Introduction; general concepts of probability; random variables, probability distributions, and characteristic functions, stochastic convergence and limit theorems; concepts of statistics; univariate distributions; multivariate distributions; order statistics and related distributions; statistical inference - parametric point estimation; testing of statistical hypotheses; large-sample methods; statistical decision theory; sequential analysis; nonparametric methods; general linear hypothesis and analysis of variance; some applications of analysis of variance; appendix A - vectors and matrices; appendix B - statistical tables.
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