教學大綱 Syllabus

科目名稱:高等數理統計

Course Name: Advanced Mathematical Statistics

修別:必

Type of Credit: Required

3.0

學分數

Credit(s)

40

預收人數

Number of Students

課程資料Course Details

課程簡介Course Description

This course provides students with the principles of probability theory and the theory of statistical inference, such as estimation methods, confidence intervals, and hypothesis testing procedures.

Those topics are essential for graduate students for further development in the field of Statistics or related fields.

核心能力分析圖 Core Competence Analysis Chart

能力項目說明


    課程目標與學習成效Course Objectives & Learning Outcomes

    The students will be able to make theoretical derivations and works on the following topics:

    1. Point estimation methods

    2. Properties of point estimates

    3. Asymptotic properties of point estimates

    4. Hypothesis testing methods and properties

    5. Interval estimation methods

    每周課程進度與作業要求 Course Schedule & Requirements

    教學週次Course Week 彈性補充教學週次Flexible Supplemental Instruction Week 彈性補充教學類別Flexible Supplemental Instruction Type

    週次

    課程主題

    課程內容與指定閱讀

    教學活動與作業

     
     

    1

    Principles of Data Reduction

    6.1, 6.2

    6.1-6.30

     

    2

    Complete Sufficient Statistics, MME, MLE

    6.2, 7.1,7.2

    6.31, 6.36, 6.37, 6.40, 7.1-7.14(HW1)

     

    3

    MLE, Bayes Estimators

    7.2

    7.15-7.26, 7.32

     

    4

    MSE, Best Unbiased, Sufficiency and Unbiasedness

    7.3

    7.33, 7.38-7.45

     

    5

    Loss Function Optimality, EM

    7.3, 7.2

    7.46-7.65(HW2)

     

    6

    Asymptotic about point estimators          

    10.1

    10.1-10.11, 10.16

     

    7

    Holiday

     

    Review for midterm

     

    8

    Point estimators + Robustness

    10.2.1

    10.18-10.23

     

    9

    Midterm

    (Ch. 6, Ch. 7, 10.1, 10.2.1)

    Review for midterm

     

    10

    Methods of finding tests

    8.1, 8.2

    8.1-8.24(HW3)

     

    11

    Methods of finding and evaluating tests       

    8.2, 8.3

    8.25-8.36

     

    12

    Methods of finding and evaluating tests

    8.3

    8.37-8.46, 8.48, 8.47, 8.49, 8.51, 8.52

     

    13

    Asymptotic about tests

    Methods of finding interval estimators

    10.3; 9.1, 9.2

    10.31-10.38  (HW4)

     

    14

    Methods of finding interval estimators Asymptotic intervals

    9.2, 10.4

    9.1, 9.2, 9.58(a), 9.3-9.15,9.16-9.25, 9.34, 9.35, 9.36,10.4:10.40-10.43, 10.47

     

    15

    Asymptotic intervals, Evaluating interval estimators

    10.4, 9.3

    10.4:10.40-10.43, 10.47, 9.37-9.41, 9.44-9.52, 9.56-9.58(HW5)

     

    16

    Review

    Review for Final

    Review for Final

     

    17

    Final Exam

    (8.1-8.3, 10.3, 9.1-9.3, 10.4)

     

     

     

    授課方式Teaching Approach

    90%

    講述 Lecture

    0%

    討論 Discussion

    0%

    小組活動 Group activity

    10%

    數位學習 E-learning

    0%

    其他: Others:

    評量工具與策略、評分標準成效Evaluation Criteria

    Quiz: 20%

    HW: 20%

    Midterm: 30%

    Final: 30%

    指定/參考書目Textbook & References

    Statistical inference, second edution; George Casella and Roger L. Berger

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    課程相關連結Course Related Links

    
                

    課程附件Course Attachments

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