1579 - 迴歸分析

Regression Analysis

教育目標 Course Target

該課程學習包含基本原則,統計模型理論與實務應用.

This course learning includes basic principles, statistical model theory and practical applications.

課程概述 Course Description

本課程主要目標在介紹迴歸分析之相關方法以及其理論。除此之外,如何利用所學迴歸方法來做實際資料分析亦是本課程之重點,課程主要涵蓋如下:
1.簡單以及多重迴歸之方法及理論
2.迴歸模式適合度檢定以及診斷
3.反應變數之轉換
4.迴歸與變異數分析
5.模式選取
6.利用迴歸相關方法之實例分析

The main purpose of this course is to introduce the relevant methods and theories of reproductive analysis. In addition, how to use the learned method to do practical data analysis is also the focus of this course. The course mainly covers the following:
1. Simple and multiple recitation methods and theories
2. Verification mode suitability confirmation and diagnosis
3. The transformation of reaction variables
4. Analysis of regression and variations
5. Mode selection
6. Example analysis of using rehabilitation-related methods

參考書目 Reference Books

Textbook: Applied Linear Statistical Models - Applied Linear Regression Models,
by M. H. Kutner, C.J. Nachtsheim, J. Neter and W. Li

Reference: Introduction to Linear Regression Analysis
by D. C. Montgomery, E. A. Peck and G. G. Vining

Textbook: Applied Linear Statistical Models - Applied Linear Regression Models,
by M. H. Kutner, C.J. Nachtsheim, J. Neter and W. Li

Reference: Introduction to Linear Regression Analysis
by D. C. Montgomery, E. A. Peck and G. G. Vining

評分方式 Grading

評分項目
Grading Method
配分比例
Percentage
說明
Description
Quizs
Quizzes
30 平時考(包括作業)
Midterm Examination
Midterm Examination
35 期中考
Final Examination
Final Examination
35 期末考

授課大綱 Course Plan

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課程資訊 Course Information

基本資料 Basic Information

  • 課程代碼 Course Code: 1579
  • 學分 Credit: 3-0
  • 上課時間 Course Time:
    Monday/B,5,6,Friday/1[M121]
  • 授課教師 Teacher:
    呂恒輝
  • 修課班級 Class:
    統計系2A
  • 選課備註 Memo:
    人工加選,曾修習統計學下期
選課狀態 Enrollment Status

目前選課人數 Current Enrollment: 50 人

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