Probability Distributions - With Truncated, Log and Bivariate Extensions (Hardcover, 1st ed. 2018)

This volume presents a concise and practical overview of statistical methods and tables not readily available in other publications. It begins with a review of the commonly used continuous and discrete probability distributions. Several useful distributions that are not so common and less understood are described with examples and applications in full detail: discrete normal, left-partial, right-partial, left-truncated normal, right-truncated normal, lognormal, bivariate normal, and bivariate lognormal. Table values are provided with examples that enable researchers to easily apply the distributions to real applications and sample data. The left- and right-truncated normal distributions offer a wide variety of shapes in contrast to the symmetrically shaped normal distribution, and a newly developed spread ratio enables analysts to determine which of the three distributions best fits a particular set of sample data. The book will be highly useful to anyone who does statistical and probability analysis. This includes scientists, economists, management scientists, market researchers, engineers, mathematicians, and students in many disciplines.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	April 2018
First published:	2018
Authors:	Nick T. Thomopoulos
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	163
Edition:	1st ed. 2018
ISBN-13:	978-3-319-76041-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	3-319-76041-6
Barcode:	9783319760414

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