104年第1學期-6183 迴歸分析 課程資訊

評分方式

評分項目 配分比例 說明
Attendance 10
Quiz 1 15
Quiz 2 15
Homework 10

選課分析

本課程名額為 70人,已有7 人選讀,尚餘名額63人。


登入後可進行最愛課程追蹤 [按此登入]。

授課教師

黃愉閔

教育目標

This course is for the graduate students enrolled in the deparment of Statistics master program. This course focuses on building a greater understanding, median level of theoretical underpinning, and tools for applying the linear regression model and its generalizations. With a practical focus, it explores the workings of multiple regression and problems that arise in applying it, as well as going deeper into the theory of inference underlying regression and most other statistical methods. The course also covers several new directions of model selection methods and shrikange methods. Through the course, computation skills of utilizing R or Splus are expected.

課程概述

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

課程資訊

參考書目

No textbook

開課紀錄

您可查詢過去本課程開課紀錄。 迴歸分析歷史開課紀錄查詢