Springer - Continuous Bivariate Distributions Textbook

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.