Syllabus Lectures: T. 1310-1500, R. 1610-1700 @ SE A316 Instructor: Yu-Ling Tseng. Office Hours: M. 14:10~15:00 W. 13:00~13:50 TA: 陳 學蒲 @SE A412 office hour : F. 10:00 ~ 11:00 ～ 有問題要多多請教助教喔 數學小天地 ～～ 討論 各類 數學相關問題 的好地方 ～～
Prerequisites: Probability Theory, Statistics, Linear Algebra
期 末考相關：
I 紙筆考試時間
0112 （星期二）：
13：10 ～ 15：00 （考試教室: 理 A316 ）
同學可攜帶計算機應考
II 上機考試時間
0105（星
期二）：
13：00 ～ 14：00 在系電腦教室考
每組 代表應考同學 請 務 必
以USB攜帶課本的所有資料檔案來考試,
請 提早 （電腦教室12點開始借）
到電腦教室挑選要用的電腦，並將你覺得需要的檔案先放到電腦桌面，方便考試時的參考。
上機考試：open book, open notes, open web, open
anything........
101 康暐郡 102 郭郁琪 103 林泓廷 104 曾柏恩 105 沈怡姍 106 陳貞佑
107 廖政維 108 林穎宏 109 張博智 110 黃儀家 111 劉品佑
1208期中考成績枝葉圖
8 | 228
9 | 3
10 | 2
～～～～～～～～～～～～～～～～～～～～～～～～～～～～～～～～～～～～～～～～～
嗨，同學們，天天快樂！
校運 放假放掉兩個小時的課，不想飛快講課，所以。。。。小小加課一下囉～～～
即 日起，每 星 期 二、四 都 多上10分鐘。。。。 星期二13：00 開始上課、星期四17：10下課！
https://drive.google.com/drive/folders/1rcQeNvDQ2d8OzBcYPBy9ydeB874ss6p-
| (date discussed in class)
Programs |
Description |
| (20200924) SetUp(1) | SetUp(1) shows
you how to: 1. devide graphical windows (not necessary if using R studio where you use the left program with extension .r) 2. assign variables/sequences 3. plot and make titles for the graph 4. generate normally distributed observations/make histograms 5. do simple regressions and related plots (you should see the effect of sample size and s.d. on the fitted reg. lines) 6. quit R |
| (20201022 ) SetUp(2) ch01ta01 data |
SetUp(2) shows
you how to: 1. scan a data set in your working directory into R 2. get figures and tables in the textbook with the Toluca Company examples 3. construct confidence intervals for reg. coeff.'s, confidence/prediction intervals for the mean response at given predictor x's values 4. construt conf. band for the entire reg line, 5. overlay three type of intervals in one plot for better comparison 6. save the output to a file for preparing your homework, or save the R commands for later use |
| (20201201) MLR ch06fi05 data |
MLR
shows you how to 1. some basic matrix operations in R, 2. how to obtain the design matrix after fitting a simple linear regression model, With the Dwaine Studios examples 3. do multiple linear regression 4. get figures and tables in the textbook 5. make basic scatter plots for M-L-R data analysis 6. obtain the design matrix 7. get (simultaneous) conf. intervals for reg. coefficients, confidence/prediction intervals for the mean response at given predictors's values 8. get 3D scatterplots |
| (20201201)GLT ch6pr18 data |
GLT
shows you how to 1. obtain SSEs from the full model and the reduced model 2. obtain F(1-alpha; m, k) in R 3. use the general linear test approach for testing certain hypotheses (by giving 3 examples) |
| (20201217) ResidPlot | This program ResidPlot 1. let you get a feeling as how a random sample of size n from N(0, 1) would look like in time sequence plots, and in histograms; and 2. with simulated regression data..... shows you some basic residual-plots for diagnostic in a regression analysis Please note that how a violation of certain assumptions made in reg model affect the display........ |
| (20201229) WLSE ch11ta01 data |
WLSE
shows you how to do W.L.S.E. when non-constant variances
occurs...... esp. shows you how to get figures and tables in the textbook with Blood Pressure Example on p427 . |
| (20201229)varstabtrans ch3ta10 data |
This program varstabtrans
illustrates a complete process when analyzing a real data set with
nonconstant variance problem........ Instead on using W.L.S.E. (which is covered in WLSE), we try transformations when nonconstant variances occur in this program. We run through the Case Example -- Plutonium Measurement on p 141 of textbook. Esp. you learn how to delete some data points from a data set, how to update model , and how to get basic diaqnostics residual plots. |
| GOFBFtests CookDBetaOutliers 20201229/31 Yes's note |
Happy New Year!!! |
(by Robert
I. Kabacoff, Ph.D. )Very
informative web site on R| Date |
Problems (作
業成績10％由各組派一代表和助教面試講解一題要用R程式回答的問題；題目採先選先贏制，講過題目其他組不得再選擇喔） |
Due
date |
| 1224 | Ch.3 : 9 In R, sum((fitted.values(fm)-mean(y))^2), sum(residuals(fm)^2) give you SSR and SSE, respectively; where y denotes the response variable and fm is the fitted model obtained from lm(y~.....) Ch.10 : 24 Ch.11 : 6 (a~f), 7(a~f), 13, 17 |
這 份作業不用交。 但，同學 一 定 要 自 己 做過這些題目喔 |
| 1217 | NOTE:
When asked to draw a dot plot in this homework, you may draw
the stem-and-leaf plot, instead. In R, stem(x) gives you the stem-and-leaf plot of data in x. Ch.3 : 3 (a, b, c, d.) (For d, only need to prepare a normal probability plot, i.e. the Q-Q plot) 4 (a, b, c, d, e, f, h) (For e, only need to prepare a normal probability plot, i.e. the Q-Q plot) 6 (a, b, c.) ( For c, only need the Q-Q plot) 8 (a, b, c, d). ( Only Q-Q plot for d) |
1224 |
| 1126 | Ch.6 : 6 (c), 11 (b), 16 (b, c), 17, 19 | 1208 期中考，所以這作業不用交，請同學自行練習喔 |
| 1112 | These
Problems and Ch.2 : 27, 28 Ch.6 : 4, 5 (a, b), 6 (a, b), 7, 15 (c), 16 (a), 26 |
1126 |
| 1029 | Ch.6 : 2, 22, 23, 24, 25 | 1105 |
| 1022 | Ch.1 : 19(已被選）, 28(已
被選）, 45(已
被選） Ch.2 : 4, 8 (a, c), 10, 13 (已被選）, 23 (a, c)(已被選） Ch.5 : 17, 18. 19 |
1029 |
| 1008 | Ch.1 : 7, 8, 33, 34, 39 (a) , 41 Ch.2 : 3, 17. |
1015 |
課本：Applied Linear Statistical Models, Applied Linear Regression Models, 5th ed, Kutner, Nachtsheim, Neter and Li, 2019, McGRAW-HILL International. 洽華泰書局 周益彰 先生（0910-275877）
參考書目：
1. Applied Regression Analysis, 2nd ed, Draper, N. R. and Smith, H., 1981,
Wiley.
2. Introduction to Linear Regression Analysis, 2nd ed, Montgomery, D. C.
and Peck, E., 1991, Wiley.
