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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 |
95-2 |
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授課對象 |
理學院 數學系 |
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授課教師 |
陳 宏 |
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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 |
選修 |
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上課時間 |
星期一1(8:10~9:00)星期四1,2(8:10~10:00) |
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上課地點 |
新生204 |
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備註 |
供外系學生修習。
限外系（所）學生
總人數上限：90人
外系人數限制：45人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/952mathstat |
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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 |
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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課程目標 |
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 |
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預期每週課後學習時數 |
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Office Hours |
每週一 09:00~10:00
每週四 10:00~11:00 |
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指定閱讀 |
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參考書目 |
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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週次 |
日期 |
單元主題 |
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Week 1 |
2/26,3/01 |
Properties of point estimation and Methods of estimation |
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Week 2 |
3/05,3/08 |
Properties of point estimation and Methods of estimation |
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Week 3 |
3/12,3/15 |
Properties of point estimation and Methods of estimation |
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Week 4 |
3/19,3/22 |
Properties of point estimation and Methods of estimation |
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Week 5 |
3/26,3/29 |
Properties of point estimation and Methods of estimation; Hypothesis testing |
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Week 6 |
4/02,4/05 |
Hypothesis testing
Spring Break |
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Week 7 |
4/09,4/12 |
Hypothesis testing |
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Week 8 |
4/16,4/19 |
Review and Midterm |
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Week 9 |
4/23,4/26 |
Linear models and least square methods |
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Week 10 |
4/30,5/03 |
Linear models and least square methods |
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Week 11 |
5/07,5/10 |
Linear models and least square methods |
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Week 12 |
5/14,5/17 |
Design of experiments |
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Week 13 |
5/21,5/24 |
Analysis of variance |
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Week 14 |
5/28,5/31 |
Analysis of variance |
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Week 15 |
6/04,6/07 |
Analysis of categorical data |
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Week 16 |
6/11,6/14 |
Analysis of categorical data |
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