Flexible Regression and Smoothing

Discover the innovative world of statistical modeling with Flexible Regression and Smoothing by Mikis D. Stasinopoulos. Published by Taylor & Francis Ltd in 2020, this comprehensive paperback spans 572 pages and offers an in-depth exploration of Generalized Additive Models for Location Scale and Shape (GAMLSS) methodology.

This essential resource is designed for both practitioners and researchers, providing a thorough overview of GAMLSS and its implementation in R. Packed with real data examples, integrated code, and illustrative figures, it effectively demonstrates the practical applications of these methods. Additionally, the book is supported by a dedicated website, enhancing the learning experience.

Whether you are looking to deepen your understanding of flexible regression techniques or seeking practical guidance on statistical modeling, Flexible Regression and Smoothing is your go-to guide for mastering these essential skills.