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Correlation and dependence /

The concept of dependence permeates the Earth and its inhabitants in a most profound manner. Examples of interdependent meteorological phenomena in nature and interdependence in the medical, social, and political aspects of our existence, not to mention the economic structures, are too numerous to b...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Mari, Dominique Drouet
Otros Autores: Kotz, Samuel
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : River Edge, NJ : Imperial College Press ; Distributed by World Scientific Pub. Co., ©2001.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Mari, Dominique Drouet. 
245 1 0 |a Correlation and dependence /  |c Dominique Drouet Mari, Samuel Kotz. 
260 |a London :  |b Imperial College Press ;  |a River Edge, NJ :  |b Distributed by World Scientific Pub. Co.,  |c ©2001. 
300 |a 1 online resource (xiv, 219 pages) :  |b illustrations 
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504 |a Includes bibliographical references (pages 203-215) and index. 
588 0 |a Print version record. 
520 |a The concept of dependence permeates the Earth and its inhabitants in a most profound manner. Examples of interdependent meteorological phenomena in nature and interdependence in the medical, social, and political aspects of our existence, not to mention the economic structures, are too numerous to be cited individually. Moreover, the dependence is obviously not deterministic but of a stochastic nature. However, it seems that none of the departments of statistics, engineering, economics and mathematics in the academic institutions throughout the world offer courses dealing with dependence conce. 
505 0 |a Ch. 1. Notations and definitions. 1.1. Notations. 1.2. Definitions -- ch. 2. Correlation and dependence: an introspection. 2.1. Independence. 2.2. Zero correlation versus dependence. 2.3. Some geometrical examples. 2.4. Some further historical remarks. 2.5. A brief tour of early applications and misinterpretations -- ch. 3. Concepts of dependence and stochastic ordering. 3.1. Introduction. 3.2. Concepts of positive dependence. 3.3. Negative dependence for more than two variables. 3.4. Setwise dependence. 3.5. Other approaches. 3.6. Positive dependence orderings. 3.7. Bayesian approach to stochastic dependence -- ch. 4. Copulas. 4.1. Introduction. 4.2. Definition and some properties. 4.3. The Fréchet bounds. 4.4. Examples. 4.5. Construction of a copula. 4.6. Archimedean copulas. 4.7. Archimax copulas. 4.8. Copulas with discontinuity constraints. 4.9. Copulas with more than two variables. 4.10. Simulation procedures -- ch. 5. Farlie-Gumbel-Morgenstern models of dependence. 5.1. Introduction. 5.2. Initial definition. 5.3. Regression and correlation. 5.4. Iterations. 5.5. Dependence properties. 5.6. A class of [symbol]-variate FGM distributions. 5.7. Further extensions. 5.8. FGM sequences -- ch. 6. Global versus local dependence between random variables. 6.1. Introduction. 6.2. Global measures of dependence. 6.3. Local indices of dependence. 6.4. Non-parametric estimation of local indices. 6.5. A search for the localisation of the maximal association. 
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650 0 |a Correlation (Statistics) 
650 0 |a Dependence (Statistics) 
650 6 |a Corrélation (Statistique) 
650 6 |a Dépendance (Statistique) 
650 7 |a correlation.  |2 aat 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x General.  |2 bisacsh 
650 7 |a Correlation (Statistics)  |2 fast 
650 7 |a Dependence (Statistics)  |2 fast 
650 1 7 |a Correlatieanalyse.  |2 gtt 
650 7 |a Inferência estatística.  |2 larpcal 
700 1 |a Kotz, Samuel. 
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