Course Archives Statistical Quality Control & Operations Research Unit | |||||||||||||||||
Course: Multivariate Data Analysis Level: Postgraduate Time: Currently not offered |
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Syllabus Past Exams Syllabus: Analysis of Multivariate data: Multivariate data summarization, Plots. Univariate and multivariate analyses similarities. Special problems associated with multivariate analysis Dimensionality reduction. Multivariate normal distribution: Elementary properties. Inference on mean vectors in multivariate populations Mahalanobis D2, Hotellings T2 ,MANOVA. Principal Component Analysis: PC Analysis based on the population covariance matrix, based on the sample covariance matrix; use of principal components. Factor analysis: Module, communality, variance of a factor & total variance; estimation of Parameters, choosing number of factors; selection of loading rotation. Discriminant Analysis and classification: Fishers discriminant function,classification rule based on expected cost of misclassification; rule for classifying into two normals/K normals. Cluster analysis, Multidimensional scaling, Correspondence analysis: Similarity measures, clustering methods and algorithms; multidimensional scaling basic algorithm; correspondance analysis algebraic development, inertia, interpretation. Conjoint analysis: Introduction, methods. Methods for multivariate SPC: Multivariate control charts, Multivariate process capability analysis. Multivariate Linear Regression: Multivariate Linear Regression Model, Least square Estimation. Tests and confidence Intervals, Model Adequacy checking, Problems of Multicollinearity, Ridge Regression, Principal component Regression. Reference Texts: 1. Applied Multivariate Methods for Data Analysis: By Johnson D.E., Duxbury Press (1998) 2. Multivariate Data Analysis: By Hair, J.F. Jr., Anderson, R.E., Tatham, R.L. and Black, W.C.. Pearson Education (Fifth Edition) (2006) 3. Applied Multivariate Techniques: By Sharma S. Wiley (1996) 4. Multivariate Statistical Process Control with industrial Applications: By Mason, R.L. and Young, J.C. ASA SIAM Series in Statistics and Applied Probability (2001) 5. Marketing Research: By Malhotra, N. Prentice Hall (Fifth Edition) (2006) Top of the page Past Exams | |||||||||||||||||
Midterm
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[Indian Statistical Institute] |