Regression Models for Categorical, Count, and Related Variables

Discover the essential guide to statistical modeling with "Regression Models for Categorical, Count, and Related Variables" by experts at the University of California Press. Published in 2016 and spanning 432 pages, this resource is tailored for social science and behavioral science students and researchers who regularly encounter complex data types.

In this comprehensive overview, readers will gain valuable insights into various regression models specifically designed for categorical and count data. The book breaks down challenging concepts into accessible information, empowering you to effectively analyze and interpret results from your research. Enhance your statistical toolkit and deepen your understanding of how to handle data that evolves over time or presents unique characteristics.

Ideal for both novices and seasoned researchers, this paperback edition is a must-have for anyone aiming to elevate their data analysis skills. Grab your copy today and unlock the power of statistical modeling!