# 播放清單 (可按影片右上角清單標誌選取影片)
source: NCTU OCW 2017年4月26日
The aims of this course are:
(1) To illustrate extensions of univariate statistical methodology to multivariate data.
(2) To introduce students to some of the distinctive statistical methodologies which arise only in multivariate data.
(3) To introduce students to some of the computational techniques required for multivariate analysis available in standard statistical packages.
Topics include: multivariate techniques and analyses, multivariate analysis of variance, principal component analysis and factor analysis, cluster analysis, discrimination and classification.
授課教師：統計學研究所 黃冠華老師
課程資訊：http://ocw.nctu.edu.tw/course_detail....
更多課程歡迎瀏覽交大開放式課程網站：http://ocw.nctu.edu.tw/
Lec01 Introduction 5:56
Lec02 Aspects of multivariate analysis 7:05
Lec03 Matrix algebra and random vectors 22:36
Lec04 Multivariate normal distribution 1:06:37
Lec05 Inferences about a mean vector 49:41
Lec06 Comparisons of several multivariate means 1:25:11
Lec07 Principal components 57:21
Lec08 Factor analysis (1/2) 1:32:53
Lec09 Factor analysis (2/2) 1:25:35
Lec10 Clustering (1/2) 1:43:54
Lec11 Clustering (2/2) 1:56:29
Lec12 Discrimination and classification 1:47:51
Lec13 2:00:50
Lec14 Canonical correlation analysis (1/2) 1:38:12
Lec15 Canonical correlation analysis (2/2) 1:24:49
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