| Beyond Beta: Other Continuous Families of Distributions with Bounded Support and Applications Contributor(s): Kotz, Samuel (Author), Van Dorp, Johan Rene (Author) |
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ISBN: 9812561153 ISBN-13: 9789812561152 Publisher: World Scientific Publishing Company OUR PRICE: $108.30 Product Type: Hardcover - Other Formats Published: December 2004 Annotation: - Suitable for students, lecturers, researchers and practitioners of statistical sciences from diverse fields and be subject to an extensive usage - This book uses real world data and elaborate illustrative examples involving financial time series, US income distribution comparison and input distribution modeling using civil engineering data - Numerous graphical displays are included to facilitate a visual understanding of the material - A Historical perspective has been kept in mind so that readers would appreciate the novel contributions within the framework of statistical distribution theory developed over the last 100 years ago or so |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General - Business & Economics | Operations Research - Business & Economics | Management Science |
| Dewey: 515.782 |
| Physical Information: 0.85" H x 6.14" W x 9.28" (1.23 lbs) 308 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Statistical distributions are fundamental to Statistical Science and are a prime indispensable tool for its applications. This monograph is the first to examine an important but somewhat neglected field -- univariate continuous distribution on a bounded domain, excluding the beta distribution. It provides an elementary but thorough discussion of "novel" contributions developed in recent years, such as the two-sided power, generalized trapezoidal and generalized Topp and Leone distributions, among others. It discusses a general framework for constructing two-sided distributions and some of its properties. It contains a comprehensive chapter on the triangular distribution as well as a chapter on earlier extensions not emphasized in existing literature. Special attention is given to estimation, in particular, non-standard maximum likelihood procedures. The applications are drawn mainly from the econometric and engineering domains. |