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course information of 103 - 1 | 6143 Regression Analysis(迴歸分析)

Taught In English6143 - 迴歸分析 Regression Analysis


教育目標 Course Target

主要目標同課程概述 另針增加對線性模型基礎推導的熟悉 及近年在迴歸分析中的一些新的方向及主題介紹Main objectives are the same as the course overview Also aimed at increasing familiarity with the basic derivation of linear models and an introduction to some new directions and topics in regression analysis in recent years.


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 goal of this course is to introduce the related methods and theories of regression analysis. In addition, how to use the regression methods learned to do actual data analysis is also the focus of this course. The course mainly covers the following: 1. Simple and multiple regression methods and theories 2. Regression model fitness test and diagnosis 3. Conversion of reaction variables 4. Regression and variation analysis 5. Mode selection 6. Example analysis using regression correlation method


參考書目 Reference Books

Linear Regression Analysis, 2nd Edition (George A.F. Seber and Alan J. Lee) ----滄海代理
Linear Regression Analysis, 2nd Edition (George A.F. Seber and Alan J. Lee) ----Canghai Agent


評分方式 Grading

評分項目 Grading Method 配分比例 Grading percentage 說明 Description
AttendanceAttendance
attendance
10
QuizzesQuizzes
quizzes
30
MidtermMidterm
midterm
30
Final ExamFinal Exam
final exam
30

授課大綱 Course Plan

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相似課程 Related Course

必修-1749 Regression Analysis / 迴歸分析 (統計系2A,授課教師:呂恒輝,四/6,7[M109] 三/2[M133] 一/8[M145])
必修-1752 Regression Analysis / 迴歸分析 (統計系2B,授課教師:林雅俐,五/3[M117] 四/4[M121] 二/3,4[M240])
必修-1768 Regression Analysis / 迴歸分析 (統計系 3,4,授課教師:俞一唐,二/10,11,12[M232])

Course Information

Description

學分 Credit:3-0
上課時間 Course Time:Tuesday/3,4,Wednesday/4[M115]
授課教師 Teacher:黃愉閔
修課班級 Class:統計碩1
選課備註 Memo:
This Course is taught In English 授課大綱 Course Plan: Open

選課狀態 Attendance

There're now 15 person in the class.
目前選課人數為 15 人。

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