Normal and Student´s t Distributions and Their Applications
(Sprache: Englisch)
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...
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Klappentext zu „Normal and Student´s t Distributions and Their Applications “
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.
Inhaltsverzeichnis zu „Normal and Student´s t Distributions and Their Applications “
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.
Bibliographische Angaben
- Autoren: Mohammad Ahsanullah , B.M. Golam Kibria , Mohammad Shakil
- 2014, 2014, XII, 157 Seiten, 27 farbige Abbildungen, Masse: 15,6 x 24,4 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 9462390606
- ISBN-13: 9789462390607
Sprache:
Englisch
Pressezitat
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)
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