Normal and Student´s t Distributions and Their Applications
Published on 18. February 2014
Book
Hardback
XII, 157 pages
978-94-6239-060-7 (ISBN)
Description
The most important properties of normal and Student t-distributions are presented. A number of applications of these properties are demonstrated. New related results dealing with the distributions of the sum, product and ratio of the independent normal and Student distributions are presented. The materials will be useful to the advanced undergraduate and graduate students and practitioners in the various fields of science and engineering.
Reviews / Votes
From the book reviews:
"The aim of this book is to study the two most important continuous distributions, normal and Student's t distribution. It is an interesting and well-written book with very clear exposition. The material presented is very useful both for students and researchers in various fields of science. . the book is very interesting and it will be useful for those who want to study normal and Student's t distribution." (Miroslav M. Ristic, Mathematical Reviews, February, 2015)
More details
Series
Edition
2014 ed.
Language
English
Place of publication
Paris
Netherlands
Target group
Upper undergraduate
Illustrations
9 s/w Abbildungen, 27 farbige Abbildungen
XII, 157 p. 36 illus., 27 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 16 mm
Weight
430 gr
ISBN-13
978-94-6239-060-7 (9789462390607)
DOI
10.2991/978-94-6239-061-4
Schweitzer Classification
Other editions
Additional editions
Mohammad Ahsanullah | B.M. Golam Kibria | Mohammad Shakil
Normal and Student´s t Distributions and Their Applications
E-Book
02/2014
Atlantis Press
€42.79
Available for download
Content
Introduction.- Normal Distributions.- Student's Distributions.- Sum, Product & Ratio for the Normal Random Variables.- Sum, Product & Ratio for the Student's Random Variables.- Sum, Product & Ratio for the Normal and Student's Random Variables.- Product of the Normal and Student's Densities.- Characterizations of Normal Distributions.- Characterizations of Student's Distributions.- Concluding Remarks.