111年第1學期-1590 類別資料分析 課程資訊
評分方式
| 評分項目 | 配分比例 | 說明 |
|---|---|---|
| Attendance | 10 | |
| Quiz 1或homework | 15 | |
| Quiz 2或homework | 15 | |
| Midterm Exam | 30 |
選課分析
本課程名額為 70人，已有35 人選讀，尚餘名額35人。
登入後可進行最愛課程追蹤 [按此登入]。
教育目標
As described in course description. But for computation, we will majorly use R or Splus software. We will discuss several case examples using SAS.
課程內涵 (Course Contents)
Contingency tables
Binomial and multinomial distributions
Logistic regression: estimation and applcations
Multi-Logit Model
R and SAS examples for analyzing categorical data
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：二/6,7,8[M103]
修課班級：統計系2-4
修課年級：年級以上
選課備註：生物統計群組(107-111適用),曾修習統計學下期
教師與教學助理
授課教師：黃愉閔
大班TA或教學助理：尚無資料
Office Hour地點: 管理學院 M436 或 Teams
Hours:
Mon. Session 4, 5 (星期一 第4, 5節)
Tue. Session 5 (星期二 第5節)
Wed. Session 5 (星期三 第5節)
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
An introduction to categorical data analysis (Alan Agresti, second edition, 華泰代理)
Categorical Data Analysis, 3rd EditionAlan Agresti
開課紀錄
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