104年第1學期-6188 類別資料分析 課程資訊

評分方式

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

選課分析

本課程名額為 70人,已有5 人選讀,尚餘名額65人。


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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

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