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Normal and Student´s t Distributions and Their Applications de Mohammad Ahsanullah

Normal and Student´s t Distributions and Their Applications: Atlantis Studies in Probability and Statistics, cartea 4

Autor Mohammad Ahsanullah, B.M. Golam Kibria, Mohammad Shakil
en Limba Engleză Hardback – 18 feb 2014
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.
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Specificații

ISBN-13: 9789462390607
ISBN-10: 9462390606
Pagini: 172
Ilustrații: XII, 157 p. 36 illus., 27 illus. in color.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.42 kg
Ediția:2014
Editura: ATLANTIS PRESS
Colecția Atlantis Press
Seria Atlantis Studies in Probability and Statistics

Locul publicării:Paris, Netherlands

Public țintă

Upper undergraduate

Cuprins

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.

Recenzii

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. Ristić, Mathematical Reviews, February, 2015)

Caracteristici

Detailed and complete presentations of the two important distributions are given Detailed and complete descriptions of the applications of the theories are explicitly shown New results and their application are rigorously explained Includes supplementary material: sn.pub/extras