
Introduction to Probability and Statistics
Giri(Author)
CRC Press
2nd Edition
Published on 19. June 2019
Book
Paperback/Softback
560 pages
978-0-367-40239-6 (ISBN)
Description
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.
Reviews / Votes
". . .clearly written. "---Journal of the American Statistical Association
More details
Series
Edition
2nd edition
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional Practice & Development
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 30 mm
Weight
801 gr
ISBN-13
978-0-367-40239-6 (9780367402396)
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Additional editions

E-Book
01/2019
2nd Edition
CRC Press
€72.49
Available for download

E-Book
01/2019
2nd Edition
CRC Press
€72.49
Available for download

Book
04/1993
2nd Edition
CRC Press
€168.10
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Person
Giri,
Content
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.