Faithin Omaha eBook Collection

This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear regression for normally distr

Despite the recent rapid growth in machine learning and predictive analytics, many of the statistical questions that are faced by researchers and practitioners

This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is

Build effective regression models in R to extract valuable insights from real data Key Features Implement different regression analysis techniques to solve comm

Handbook and reference guide for students and practitioners of statistical regression-based analyses in R Handbook of Regression Analysis with Applications in R