Understanding Regression Analysis: A Conditional Distribution Approach

Book Details:

• Book Title: Regression Models and Methods: A Unified Approach

• Author: Andrea L. Arias

• Publisher: CRC Press

• Language: English

• ISBN: 9780367493516

• Pages: 514

• Binding: Paperback

• Release Date: 06-05-2022

• Package Dimensions: 10.0 x 7.0 x 1.1 inches

About the Book:

Regression Models and Methods: A Unified Approach offers a comprehensive guide to a range of regression applications, covering classical models, ANOVA models, generalized models, neural networks, and decision trees. The book unifies these diverse techniques under a common framework: the conditional distribution model.

This text provides an in-depth exploration of models including Poisson, Negative Binomial, logistic, and survival regression, offering practical insights into how they can be applied to real-world data analysis. It is particularly valuable for students, researchers, and practitioners working in statistics, data science, and related fields who wish to deepen their understanding of regression techniques and their diverse applications.

Key Features:

• Covers a wide array of regression models and methods in one comprehensive volume.

• Explores classical regression, ANOVA, generalized models (Poisson, Negative Binomial, logistic, survival), neural networks, and decision trees.

• Unifies different approaches under the conditional distribution model, enhancing understanding and application.

• Provides a solid foundation for analyzing and interpreting complex data sets.

Audience:
This book is ideal for students, researchers, and professionals in statistics, data science, and any field that uses regression analysis for data modeling and interpretation. It serves as a valuable resource for those seeking a unified approach to different regression techniques.