97 學年度 第一學期

統計方法(一)

• 授課時間及地點：星期二 14:10 至 17:00
• 書目：
教科書(recommended but not required)：
“Applied Linear Statistical Models”, Fifth Edition, 2005 , M. H. Kutner, C. J. Nachtsheim, J. Neter,  and W. Li ( 中譯本: 劉應興編譯的“應用線性迴歸模型”以及 陳立信編譯的“變異數分析”和“實驗設計”,; 華泰書局 代理)建議修課同學教科書買英文版,上課以英文版為主

• 參考書
• Statistical Methods for Psychology, 5th Bk&Dk Edition, by D. C. Howell (Duxbury Press, 2002)
• Applied Linear Regression, 2nd Edition, by Stanford Weisberg (Wiley Series, 1985)
  
  

• 課程內容

  迴歸及變異數分析與實驗設計現今被廣泛使用在商業管理、經濟、工 程、社會科學、醫學與生物科學等領域。本課程希望介紹學生認識一些基礎之統計方法並能夠使 用統計軟體對所得之資料做分析。主要內容包括三個部分:

  1.迴歸分析:簡單線性迴歸 、複迴歸
  2.變異數分析：單因子、雙因子以及多重比較方法
  3.隨機集區設計及其變異數分析

• 使用軟體： SPSS 或 R

•  公告事項:

     作業: 作業會於課堂上指派. 除非特殊理由請勿遲交作業,謝謝!
     期末報告需找使用本學期所教授之統計方法來分析資料之期刊論文,就其內容做簡短報告及評論.
     評分標準:

作業(4次)	40%
期中考	25%
期末報告	10%
期末考	25%

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預定進度

Date	Topic	Reading	Homework
September 16	Review: Descriptive statistics and probability distribution & Sampling distribution	KNWN Ch1; H Ch1-5
September 23	Hypothesis testing: means, correlations and more	KNWN Ch1; H Ch7-8
September 30	Lab 1
October 7	Simple linear regression: estimation & inference	KNWN Ch2-3; H Ch9-10	HW1 due
October 14	Simple linear regression: diagnostic	KNWN Ch4, H Ch9
October 21	Matrix & Regression
October 28	Multiple regression: estimation & inference & diagnostics	KNWN Ch5-6 10.2-4
November 4	Multiple regression: estimation & inference & diagnostics	KNWN Ch7; H Ch15	HW2 due
November 11	期中考	KNWN Ch1-3, 5,67, 10.2-4
November 18	Multiple regression: with qualitative factors	KNWN Ch8
November 25	transformation & weighted least squares	KNWN 11.1, 3.8,3.9
December 2	Variable selections	KNWN Ch9	surgery.txt surgery.r
December 9 & December 16	Correlation model Multicollinearity Ridge analysis	KNWN 7.5 7.6 10.5 11.2	HW3 due
December 23	Analysis for Correlated Data	KNWN Ch12
December 30	Lab & 期末報告
January 6	期末報告
January 13	期末考		HW4 due (1/16) 中文本題號 7.34 9.15, 9.16, 9.19 10.21a b, 10.22 a b c+殘差分析 11.10 a b c d 11.13 12.9 a b c 12.10 a b c d e 12.12 a b c d

(KNWN=>Applied Linear Statistical Models; H=>Howell)

quick_R.pdf
descriptR.pdf

HW 1:  data set KNWN gpa.txt
 Some note about sampling distribution and confidence intervals [note.pdf] [sampling.pdf] (no need to print them out)

HW2: data set KNWN 1.22 plastic.txt
KNWN 3.15 concentration.txt

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Last revised: Dec 12, 2008