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課程名稱 |
數理統計二
INTRODUCTION TO MATHEMATICAL STATISTICS (II) |
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開課學期 |
96-2 |
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授課對象 |
學程 神經生物與認知科學學程 |
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授課教師 |
陳素雲 |
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課號 |
MATH3603 |
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課程識別碼 |
201 30320 |
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班次 |
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學分 |
3 |
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全/半年 |
半年 |
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必/選修 |
必修 |
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上課時間 |
星期一2(9:10~10:00)星期四1,2(8:10~10:00) |
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上課地點 |
新203新203 |
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備註 |
供外系學生修習。
總人數上限：100人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/962MathStat |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
Contents：
Topics to be covered include
1. Properties of point estimation and Methods of estimation
2. Hypothesis testing
3. Linear models and least square methods
4. Design of experiments
5. Analysis of variance
6. Analysis of categorical data
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課程目標 |
Course Goal：
A prime objective of the INTRODUCTION TO MATHEMATICAL STATISTICS course sequence is to present techniques and basic results of probability and mathematical statistics at a rigorous, but not advanced level. In the second semester course, the structure of statistical inference procedures is studied. In particular, the theory of estimation, confidence sets, hypothesis testing, and prediction for common parametric models are investigated.
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課程要求 |
Course prerequisite：
Students taking the course will have completed calculus and had introductory probability and basic statistics courses.
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預期每週課後學習時數 |
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Office Hours |
每週三 12:30~14:00 備註： 固定office hour(地點:先至新數103人多再到新生501)欲另外約時間!!請寄
email給助教
miller@ms30.url.com.tw |
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指定閱讀 |
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參考書目 |
Reference material ( textbook(s) )：
1. Mathematical Statistics with Applications. W. Mendenhall, R.L. Scheaffer and D.D. Wackerly. Publisher: Duxbury Press. (textbook)
2. Introduction to the Practice of Statistics. D.S. Moore and G.P. McCabe. Publisher: W.H. Freeman and Company
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
Homework |
20% |
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2. |
quiz |
20% |
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3. |
midterm |
30% |
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4. |
final |
30% |
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週次 |
日期 |
單元主題 |
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第1週 |
2/18,2/21 |
Chapter 9. Properties of Point Estimators and Methods of Estimation |
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第3週 |
3/03,3/06 |
Chapter 10 Hypothesis Testing |
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第6週 |
3/24,3/27 |
Chapter 11 Linear Models and Estimation by Least Squares |
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第9週 |
4/14,4/17 |
4/14 TAs will come in class to help with R and Matlab and to answer questions.
4/17. Chapter 12 Considerations in Designing Experiments |
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第10週 |
4/21,4/24 |
4/21 TAs will come in class to help with R and Matlab and to answer questions.
4/24 Midterm:ch9-11 |
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第11週 |
4/28,5/01 |
Chapter 13 The Analysis of Variance |
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第12週 |
5/05,5/08 |
Chapter 13 The Analysis of Variance |
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第13週 |
5/12,5/15 |
5/12 (Monday) homework discussion。
5/15 (Thursday) 8:30--10:00, 小考，第13章。 |
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第14週 |
5/19,5/22 |
Chapter 14 Analysis of Categorical Data |
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第15週 |
5/26,5/29 |
(I) 5/26 Chapter 14. (II) 5/26 SS decomposition.
(III) 5/29 selected topics from Chapter 15. |
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第16週 |
6/02,6/05 |
6/02 (Monday) homework discussion by TA.
6/05 (Thursday) selected topics from Chapter 15 and review |
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第17週 |
6/09,6/12 |
06/09 (Monday) Review.
06/12 (Thursday) TA will come and answer your questions and arrange for some exercises. |
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第18週 |
6/19 |
期末考，6/19〈週四〉， 8:10--10:00，第11、13及14章。 |
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