校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

迴歸分析

Regression Analysis

學期
111-1
學分
3 學分
當期課號
536902
永久課號
SCIS30072
開課單位
統計學研究所
授課教師
高竹嵐
類別
選修
上課時間表
週三
5
13:20–14:10
迴歸分析
A406
3 節連堂
6
14:20–15:10
7
15:30–16:20

* 根據陽明交大上課時間表所列

概述

Important Note 重要事項宣布 (2022/09/11) As the COVID situation becomes intense, I believe it is not worth it for you to travel for simply a course introduction. Therefore, I have filmed the first lecture and post it online. Please check it out, and see if this is the course you want to take. You therefore don't need to come to class for 9/14; please be safe, and return to class on 9/21. 由於疫情有升溫趨勢,而且又是中秋連假後,我想不宜讓大家為了聽一個可能只有一個小時的課堂簡介,而承擔染疫風險。因此,第一堂課的內容,我已經全部錄影放上雲端,還請大家看看這是否是你想修的課。大家9/14就不用來課堂上;請大家積極防疫,9/21,我們課堂上見~ Course Video and Material 課程影片資料連結 https://drive.google.com/drive/folders/11IRMwn9P15vHAAoYYOOEsEd27QB-adZV?usp=sharing --- Regression analysis is one of the fundamental tools in current statistics. In this course, we will study the theoretical foundation of the regression analysis, and how it is applied to real application. For each week, the class will constitute of two parts: the first two hours will focus on the theoretical derivation, and the last hour will focus on empirical applications and presentation.

先修科目

Undergraduate probability and statistics is needed. Computer programming such as R or C is also involved in the course.

評分方式

Homework 50% Midterm Project 25% Final Project 25%

週次計畫
週次主題
第 1 週Introduction, Review on Basic Concepts
第 2 週Simple Linear Regression
第 3 週Review: Correlation and ANOVA
第 4 週Multiple Linear Regression
第 5 週Multicollinearity
第 6 週Model Adequacy Checking, Transformations and Weighting
第 7 週TBA
第 8 週Midterm
第 9 週Polynomial Regression Model Indicator Variables
第 10 週Panel Data
第 11 週Variable Selection
第 12 週Nonlinear Regression
第 13 週Logistic Regression
第 14 週Generalized Linear Model
第 15 週TBA
第 16 週Final
教科書

Montgomery, D.C., Peck, E.A., Vining, G.G. (2012). Introduction to Linear Regression Analysis (5th Edition). Wiley.

Office Hours
時間
By appointment
聯絡方式
chulankao@gmail.com