This course introduces the generalized linear models and
their applications to a variety of types of data.This course introduce St and generalized linear models and their applications to variety of types of data.
廣義線性模型是一門應用極廣且兼具理論架構的統計模式。本門課擬就廣義線性模式之統計推論做一介紹，並就應用廣義線性模式於不同的資料形態來做方法之介紹以及實際軟體編寫。其中包含二項式資料之邏輯斯迴歸模式，分析多項式資料之proportional-odds models，分析卜松分布型資料的log-linear models 以及分析存活資料之相關方法及模式，除以之外，一些基礎的估計理論，包含conditional likelihood function以及quasi-likelihood function亦是涵蓋之主題。
The broad-linear model is a statistical model with a wide range of applications and theoretical architecture. This course introduces the statistical recommendations of the broad-based model, and introduces the methods of applying the broad-based model to different data forms and writes the actual software. It includes logical Essence model of two-type data, proportional-odds models of multiple-type data, log-linear models of Busong distributed data, and related methods and models of analyzing survival data. In addition, some basic estimation theory, including conditional likelihood function and quasi-likelihood function, are also covered topics.
Generalized Linear Models (2nd edition) ,
by Nelder and McCullagh.
generalized linear models (2ND edition) ,
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| MidtermMidterm midterm |
40 | |
| FinalFinal Final |
50 | |
| HomeworkHomework homework |
10 |
