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Continuous Bivariate Distributions
Random variables are rarely independent in practice and so many multivariate distributions have been proposed in the literature to give a dependence structure for two or more variables. In this book, we restrict ourselves to the bivariate distributions for two reasons: (i) correlation structure and...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2009.
|
| Edición: | 2nd ed. 2009. |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Univariate Distributions
- Bivariate Copulas
- Distributions Expressed as Copulas
- Concepts of Stochastic Dependence
- Measures of Dependence
- Construction of Bivariate Distributions
- Bivariate Distributions Constructed by the Conditional Approach
- Variables-in-Common Method
- Bivariate Gamma and Related Distributions
- Simple Forms of the Bivariate Density Function
- Bivariate Exponential and Related Distributions
- Bivariate Normal Distribution
- Bivariate Extreme-Value Distributions
- Elliptically Symmetric Bivariate Distributions and Other Symmetric Distributions
- Simulation of Bivariate Observations.