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Springer - Continuous Bivariate Distributions Textbook

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Description

Expand your understanding of statistical modeling with Continuous Bivariate Distributions by Springer. This comprehensive volume provides a detailed review of general developments in bivariate distributions, making it an essential resource for students and professionals in probability and statistics. A significant focus of this work is the exploration of copulas, a subject that has seen massive growth in recent years. By studying how these distributions are generated through various copulas, readers gain a deeper look into dependence structures and mathematical properties. Beyond standard models, the text examines conditionally specified distributions and skewed distributions. This approach helps users navigate complex data sets and understand the forms and computations necessary for advanced statistical applications. Whether you are researching dependence structures or looking for updated computational methods, this book offers a structured look at the current state of the field.

Key Features

Comprehensive review of general developments in the field of bivariate distributions for statistical research.

In-depth coverage of copulas to help readers understand modern dependence structures and mathematical generation.

Detailed examination of conditionally specified distributions for more complex statistical modeling needs.

Exploration of skewed distributions to provide a broader range of mathematical tools for data analysis.

Practical insights into the forms, properties, and computation of numerous continuous bivariate distributions.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 September 2010
Listed Since
02 December 2010

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