教學方式(Teaching Method)(必填)
<br>
<br>口述,板書,播放投影片
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<br>指定用書(Text Books):
<br>Ronald Christensen (2020).
<br>Plane Answers to Complex Questions: The Theory of Linear Models,
<br>Springer.
<br>
<br>教學進度(Syllabus)(必填)
<br>(Tentative Schedule)
<br>1.  Introduction and Review of Linear Algebra, Probability, and Statistics
<br>2.  Estimation in Linear Models
<br>3.  Testing Hypotheses for Linear Models
<br>4.  On-way ANOVA
<br>5.  Multiple Comparisons
<br>6.  Regression Analysis
<br>7.  Two or More Way Analysis
<br>8.  Analysis of Covariance
<br>9.  Linear Mixed Models
<br>10. Log-Linear Models
<br>11. High-Dimensional Linear Models 
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<br>
<br>成績考核(Evaluation)(必填)
<br>
<br>Midterm Examination I  (written)  25%
<br>Midterm Examination II (written)  25%
<br>Final Examination (Written)       35%
<br>Homework (4-5 assignments)        15%
<br>
<br>可連結之網頁位址 相關網頁(Personal Website)
<br>http://mx.nthu.edu.tw/~cking/Statistical%20Inference/Regression%20Analysis.pdf
<br>
<br>http://mx.nthu.edu.tw/~cking/Statistical%20Inference/Maximum%20Likelihood%20Estim
<br>ates%20Basic%20Properties.pdf
<br>
<br>http://mx.nthu.edu.tw/~cking/Statistical%20Inference/Maximum%20Likelihood%20Estim
<br>ates%20Asymptotic%20Properties.pdf
<br>
<br>AI 使用規則:
<br>　完全開放使用且無須註明 Unrestricted use with no disclosure required