MA60083: Multivariate Analysis

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MA60083
Course name Multivariate Analysis
Offered by Mathematics
Credits 4
L-T-P 3-1-0
Previous Year Grade Distribution
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Semester Autumn


Syllabus

Syllabus mentioned in ERP

Prerequisite: Probability and StatisticsMultiple linear regression, problems of multicollinearity, heteroscedasticity and their remedies, autocorrelation and its remedial measures, polynomial regression and the method of orthogonal polynomials, nonlinear regression - some specific models and solutions. Testing general linear hypothesis - testing equality of means of several normal distributions with common covariance matrix, MANOVA, testing independence of a set of variates, testing hypotheses of equality of covariance matrices. Confounding in factorial experiments, fractional replications, split-plot designs. BIBD and PBIBD. Factor analysis.


Concepts taught in class

Student Opinion

How to Crack the Paper

Classroom resources

Additional Resources