104年第1學期-6188 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5人選讀,尚餘名額65人。

評分方式

評分項目 配分比例 說明
Homework assignments 20
Midterm, Quizzes, or Projects 55
Final 25

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
"The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman