Statistical Regression Modeling with R

Discover the comprehensive insights of Statistical Regression Modeling with R by Ding-Geng (Din) Chen, published in 2022 by Springer Nature Switzerland AG. This essential resource spans 228 pages and is designed for those looking to deepen their understanding of statistical modeling techniques. The book covers a range of topics, starting with linear and nonlinear regression tailored for normally distributed data. It also delves into logistic regression for binomially distributed data, as well as Poisson and negative-binomial regression for count data. Whether you are a student, researcher, or professional, this book provides the foundational knowledge and practical application of regression modeling using R. Enhance your statistical skills and elevate your data analysis capabilities with this invaluable guide.