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【更新進度】25-26 s1/s2/ss 科目列表已上傳。
【更新進度】25-26 s1/s2/ss 科目評價已更新。

STAT 3008 應用迴歸分析 Applied Regression Analysis

 

Course Code

STAT 3008

STAT3008

科目名稱

Applied Regression Analysis 應用迴歸分析           

教員

Professor WANG Junhui

[官方介紹]

[學術著作]

學  分

課程性質

STAT選修

同科其他選擇

 

Workload

l   非PAPER類HOMEWORK

l   MIDTERM

l   FINAL EXAM

好重

1

重

1

平均

1

輕

 

極輕

 

評價教學內容

#1 1999 冇用 考試出d奇怪野。唔會跟past papers 出

#2正常regression course

#3 出嘢出太難,但比考前pastpaper係完全兩回事

評價教員教學

#1 prof同TA都教得好差,啲功課(出自教科書)TA要email問professor點做,然後professor都係上網google答案,再教TA。問TA嘅時候,TA俾嘅solution都唔一定啱,某幾份功課只計completion分又唔講明。Professor喺lecture time 唔夠時間講嘅topic唔係cut syllabus而係俾講到1999嘅TA教。作為新嚟嘅professor midterm同final照抄同一年pp,前面提到教唔切俾TA教懷疑係要夾硬教曬pp cover嘅topic。喺考試前有俾pp我哋睇,但唔係佢抄嗰份,同埋佢話唔建議我哋溫pp。

#2份lecture notes 可以係70幾版,每一版可以show 好幾次,Tutorial notes 可以有大量typo 完全唔check清楚先黎up上blackboard ,手寫D字可以係鬼劃符,寫完等如冇寫,亳無參考價值

CUSIS科目資料

Description:

This course introduces the general methodology in regression analysis. Topics include least squares method in simple and multiple regression, weighted least squares, diagnostic checkings, variables selection, dummy variables and multicollinearity. A laboratory section will be held to demonstrate the use of related statistical packages and provide student opportunities for hands-on practices.

 

Learning Outcome:

Upon completion of the course, students should be able to  
(1) understand the matrix presentation of data;  
(2) understand the parameter estimation and hypothesis testing for a regression model;  
(3) build an ANOVA table for a regression model;  
(4) perform model selection;  
(5) perform model diagnostics; and  
(6) use statistical software to analyse regression data.

其他資料

2223Sem1:學位 254|註冊 139|剩餘 115

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