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課程資訊 |
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課程名稱 |
高等統計推論一 Advanced Statistical Inference (Ⅰ) | ||||||||||||||||||||
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開課學期 |
105-1 | ||||||||||||||||||||
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授課對象 |
社會科學院 經濟學研究所 | ||||||||||||||||||||
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授課教師 |
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課號 |
ECON5088 | ||||||||||||||||||||
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課程識別碼 |
323 U1950 | ||||||||||||||||||||
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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 |
星期一4(11:20~12:10)星期四8,9(15:30~17:20) | ||||||||||||||||||||
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上課地點 |
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備註 |
上課資訊依課號MATH7603訊息為主。限選修ECON課號，方可認定為經濟系 限學士班三年級以上 或 限碩士班以上 總人數上限：20人 | ||||||||||||||||||||
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1051ECON5088_Infer | ||||||||||||||||||||
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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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課程概述 |
Contents:
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課程目標 |
The objective of this course is to introduce to the students some basic theory of probability. It is fundamentally important for understanding the commonly used statistical concepts and methods. It also provides a necessary basis for students for a further study of other advanced statistical courses. | ||||||||||||||||||||
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課程要求 |
Introduction to Probability and Statistics Theory or equivalent
Students taking this course should be grounded in probability and mathematical statistics at the upper division undergraduate level. |
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預期每週課後學習時數 |
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Office Hours |
每週一 10:00~11:00 每週四 13:00~15:00 備註： 週一、週四 授課老師 (天文數學大樓465室) | ||||||||||||||||||||
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指定閱讀 |
待補 | ||||||||||||||||||||
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參考書目 |
Textbook and References:
1. Casella, G. and Berger, R. L. (2002). Statistical Inference. 2nd ed. Duxbury Press. 2. Bickel, P. S. and Doksum, K. A. (2001). Mathematical Statistics: Basic Ideas and Selected Topics, Vol. I, 2nd ed. Prentice Hall. 3. Karr, A. F. (1993). Probability. Springer-Verlag. | ||||||||||||||||||||
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評量方式 (僅供參考) |
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課程進度 |
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週次 |
日期 |
單元主題 |
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第1週 |
9/12 | 9/15  中秋節 Overview; Set Theory, Basics of Probability Theory
Talk about math tools associated with discrete RV and continuous RV. They are summation and integration (if its DF is absolutely continuous). |
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第2週 |
9/19, 9/22 | 24日網路加選課程截止（中午12時截止）Conditional Probability and Independence, Random Variable, Density and Mass Functions |
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第3週 |
9/26, 9/29 | 停修申請開始(至12月9日止);
Distributions of Functions of a Random Variable, Expected values |
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第4週 |
Moments and moment generating functions, Discrete Distribution (Binomial, Poisson) Continuous Distribution (Uniform, exponential)
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第5週 |
10日 國慶紀念日(放假日); Differentiating under an integral sign. Finish up Chapter 3 and start on Chapter 4 on multiple random variables. | |
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第6週 |
週一: Differentiating under an integral sign, Exponential Families, Location and Scale Families.
週四: Inequalities and Identities, Start on Multiple random variables | |
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第7週 |
週一: Quiz 1 (Chapter 1, Chapter 2)
週四: Multiple random variables (joint and marginal distribution, conditional distribution and independence), Hierarchical models and mixture distributions, Bivariate transformations. | |
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第8週 |
Multiple Random Variables: Multiple Random Variables, Bivariate transformations, Hierarchical Models and Mixture Distributions, Covariance and Correlation; | |
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第9週 |
11/10 期中考 | |
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第10週 |
自主學習周: 課堂學習方式停止, 老師提供個人或小組諮詢
15日本校校慶(停課一天)。 | |
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第11週 |
On Monday, go over Definition 5.1.1. and Section 5.5 on Convergence Concepts. On Thursday, teach on generating a random sample (Chapter 5.6).
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第12週 |
Continue on Convergence Concepts.
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第13週 |
停修申請開始至12月7日止。Finish Ch5.5.1-5.5.3 and start on Delta method and concept on showing that MLE is a good estimation method. | |
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第14週 |
On Monday, discuss delta method in Ch5.5.4 and Method of Moments (Chapter 7.2.1).
On Thursday, start on generating a random sample (Chapter 5.6) and Maximum Likelihood Estimators (Chapter 6.3.1 and Chapter 7.2.2). | |
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第15週 |
Quiz 2 on Monday (12/17/2012) from 11:20 to 12:10 (Chapter 5.4 on Order Statistics, Chapter 5.5 on Convergence Concepts, and Chapter 7.2.1 on Method of Moments and Definition of Maximum Likelihood Estimate). On Thursday and Saturday, teach on generating a random sample (Chapter 5.6) and go over Sums of Random Variables from a Random Sample and Sampling from the Normal Distribution.
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第16週 |
Quiz 3 on Thursday (12/27/2012) from 15:30 to 16:40 (Generating random sample, Distributions related to normal and multivariate normal distribution, Estimation). | |
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第17週 |
No class on 1/02 | |
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第18週 |
週四: 期末考試。範圍為Chapters 4.4-5, 5, 6.3.1, and 7.2.1-7.2.2, 不含Metropolis Algorithm. |