STAT 3005 非參數統計 Nonparametric statistics

 

Course Code	STAT 3005 STAT3005			科目名稱		Nonparametric statistics 非參數統計
教員	Professor CHAN Kin Wai [官方介紹] [學術著作]			學　　分		3學分
課程性質	統計系選修			同科其他選擇
Workload	l   非PAPER類HOMEWORK l   MIDTERM l   FINAL EXAM								好重
									重
									平均	1
									輕
									極輕
評價教學內容	#1 教嘅內容例如bootstrap,BD correlation,kde都幾有趣 assignment會教點樣處理uncleaned dataset midterm同final會要你試吓用layman language解釋吓statistical concept 成個course到最後會學到很多嘢
評價教員教學	#1 lecturer超好人,lecture notes排版好好,亦有好多examples,上堂一定唔會悶
CUSIS科目資料	Description： This course introduces a wide variety of nonparametric techniques for performing statistical inference and prediction, emphasizing both conceptual foundations and practical implementation. Basic theoretical justification is also provided. The content covers three broad themes: (i) rank-type and order-type methods for handling location, dispersion, correlation, distribution and regression problems, (ii) resampling-type procedures for testing and assessing precision, and (iii) smoothing-type techniques for estimation and prediction. Topics include Wilcoxon signed-rank test, Mann-Whitney rank sum test, Spearman’s rho, Kendall’s tau, Kruskal-Wallis test, Kolmogorov-Smirnov test, bootstrapping, Jackknife, subsampling, permutation tests, kernel method, k-nearest neighbour, tree-based method, classification, etc.   Learning Outcome： Upon finishing the course, students are expected to 1.      appreciate the beauty of nonparametric methods; 2.      apply a wide variety of nonparametric techniques to perform inference and prediction; 3.      understand the pros and cons of parametric and nonparametric methods; 4.      use programming to perform nonparametric statistical analysis for real-life problems; and 5.      master the skills in deriving basic theoretical properties of nonparametric methods.
其他資料	2020Sem1：學位 100|註冊 93|剩餘 7
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