102年第1學期-6148 類別資料分析 課程資訊

課程分享

選課分析

本課程名額為 70人,已有8人選讀,尚餘名額62人。

評分方式

評分項目 配分比例 說明
Homework assignments 30
Midterm, Quizzes, or Projects 40
Final 30

授課教師

蘇俊隆

教育目標

Introducing advanced statistical models and theories for categorical data used by statistical researchers and practitioners.

課程概述

Objective: Introducing statistical models for categorical data used by statistical researchers and practitioners. Prerequisites:(a) Elementary Statistics(b).At least one of the following packages(SAS, R/Splus, or SPSS). Contents : 1.Statistical inference for Two-way and Three-way Contigency tables under different assumptions. 2.Logit/Loglinear models and their extensions. 3.Generalized linear models with random effects for categorical responses. 4.Models checking and selection. 5.Asymptotic results and other advanced topics. Sofewares: 1.SAS: PPRC FREQ, GENMOD, LOGISTIC, CATMOD, and NLMIXED. 2.S-PLUS or R: chisq.test, glm, fisher. test, gee, and glmmPQL. 3.SPSS: crosstabs, logistic, and plum.

課程資訊

參考書目

“Categorical Data Analysis” by Alan Agresti