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。
登入後可進行最愛課程追蹤 [按此登入]。
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
基本資料
選修課，學分數：3-0
上課時間：四/5,6,7[M442]
修課班級：統計碩博1,2
修課年級：年級以上
選課備註：
教師與教學助理
授課教師：蘇俊隆
大班TA或教學助理：尚無資料
Office HourOffice Hours : 二/6,7,8; 三/9[新管院M434]
授課大綱
授課大綱：開啟授課大綱(授課計畫表)
(開在新視窗)
參考書目
“Categorical Data Analysis” by Alan Agresti
"The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman
開課紀錄
您可查詢過去本課程開課紀錄。 類別資料分析歷史開課紀錄查詢