- Добавил: buratino
- Дата: 9-04-2021, 10:53
- Комментариев: 0

Автор: Ding-Geng Chen, Jenny K. Chen
Издательство: Springer
Год: 2021
Формат: true pdf/epub
Страниц: 239
Размер: 29.8 Mb
Язык: English
This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial regression for count data. It then progresses to these regression models that work with longitudinal and multi-level data structures.