| Description |
1 online resource (ix, 296 pages) : illustrations |
| Physical Medium |
polychrome |
| Description |
text file |
| Bibliography |
Includes bibliographical references. |
| Contents |
Cover -- Contents -- Preface -- Chapter 1 Modeling Income Distributions Using Elevated Distributions on a Bounded Domain -- 1. Introduction -- 2. Cumulative distribution function and density function -- 3. Properties of Standard RGTL distributions -- 4. Maximum likelihood estimation -- 5. Fitting 2001 U.S. income distribution data -- 6. Concluding remarks -- Acknowledgments -- References -- Chapter 2 Making Copulas Under Uncertainty -- 1. Introduction -- 2. Initial approach -- 3. FGM distribution functions -- 4. The Dorp and Kotz's distribution families and its subfamilies -- 5. An approach to the problem: Application of the MTDF with van Dorp and Kotz's marginals in an uncertainty environment -- 6. A solution -- 7. A valuation method -- 8. Practical application of the MTDF with van Dorp and Kotz's marginals under uncertainty enviroment. |
| Summary |
Annotation Distribution Models Theory is a revised edition of papers previously highly selected by the scientific committee for the Fifth Workshop of Spanish Scientific Association of Applied Economy on Distribution Models Theory held in Granada (Spain) in September 2005. The contributions offer a must-have point of reference on models theory. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Model theory.
|
|
Model theory. |
|
Distribution (Probability theory)
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Distribution (Probability theory) |
| Genre/Form |
Electronic books.
|
| Added Author |
Herrerías-Pleguezuelo, Rafael.
|
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Callejón-Céspedes, José.
|
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Herrerías--Velasco, José Manual.
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| Other Form: |
Print version: Distribution models theory. New Jersey : World Scientific, ©2006 (DLC) 2006048221 |
| ISBN |
9789812772992 (electronic book) |
|
9812772995 (electronic book) |
|
9789812569004 (alkaline paper) |
|
9812569006 (alkaline paper) |
|
9812569006 (alkaline paper) |
|
