課程資訊
課程名稱
數理統計二
INTRODUCTION TO MATHEMATICAL STATISTICS (II) 
開課學期
96-2 
授課對象
理學院  數學系  
授課教師
陳素雲 
課號
MATH3603 
課程識別碼
201 30320 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期一2(9:10~10:00)星期四1,2(8:10~10:00) 
上課地點
新203新203 
備註
供外系學生修習。
總人數上限:100人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/962MathStat 
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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

 

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.
 
課程要求
Course prerequisite:

Students taking the course will have completed calculus and had introductory probability and basic statistics courses.

 
預期每週課後學習時數
 
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 
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

 
指定閱讀
 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
Homework 
20% 
 
2. 
quiz 
20% 
 
3. 
midterm  
30% 
 
4. 
final  
30% 
 
 
課程進度
週次
日期
單元主題
第1週
2/18,2/21  Chapter 9. Properties of Point Estimators and Methods of Estimation 
第3週
3/03,3/06  Chapter 10 Hypothesis Testing 
第6週
3/24,3/27  Chapter 11 Linear Models and Estimation by Least Squares 
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 
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 
第11週
4/28,5/01  Chapter 13 The Analysis of Variance 
第12週
5/05,5/08  Chapter 13 The Analysis of Variance 
第13週
5/12,5/15  5/12 (Monday) homework discussion。

5/15 (Thursday) 8:30--10:00, 小考,第13章。 
第14週
5/19,5/22  Chapter 14 Analysis of Categorical Data 
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. 
第16週
6/02,6/05  6/02 (Monday) homework discussion by TA.
6/05 (Thursday) selected topics from Chapter 15 and review 
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. 
第18週
6/19  期末考,6/19〈週四〉, 8:10--10:00,第11、13及14章。