Handbook of Regression Methods

Discover the comprehensive insights offered in the Handbook of Regression Methods by Taylor & Francis Inc. Published in 2017, this hardback edition spans an impressive 654 pages, making it an essential resource for students and professionals alike. This book presents an extensive overview of both standard and nonstandard regression techniques, covering essential topics typically found in a Master's-level statistics regression course. Readers will explore simple and multiple linear regression, residual analysis, and ANOVA, along with specialized subjects such as biased regression procedures, multivariate regression, and count regression models. Whether you're looking to deepen your understanding or enhance your practical skills, this handbook is a valuable addition to your statistical library. Elevate your data analysis proficiency with this authoritative guide!