Multivariate Data Analysis detailed syllabus for Industrial Engineering (Industrial) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the Industrial students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Industrial Engineering 5th Sem scheme and its subjects, do visit Industrial 5th Sem 2021 regulation scheme. For Professional Elective-III scheme and its subjects refer to Industrial Professional Elective-III syllabus scheme. The detailed syllabus of multivariate data analysis is as follows.
Course Objectives:
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Unit I
MULTIVARIATE METHODS
An overview of Multivariate methods, Multivariate Normal distribution, Eigen values and Eigen vectors.
Unit II
REGRESSION 9
Simple Regression and Correlation – Estimation using the regression line, Correlation analysis, Multiple regression and Correlation analysis – Finding the Multiple Regression equation, Modelling techniques, Making inferences about the population parameters.
Unit III
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Unit IV
DISCRIMINANT ANALYSIS 9
Discriminant analysis – Discrimination for two multivariate normal Populations – Discriminant functions – Structured Equation Modelling (SEM).
Unit V
CLUSTER ANALYSIS 9
Cluster analysis – Clustering methods, Multivariate analysis of Variance
Course Outcomes:
- Can apply the multivariate, analysis techniques for statistical analysis
- Can apply the regression, analysis techniques for statistical analysis
- Can apply the factor, analysis techniques for statistical analysis
- Can apply the discriminent analysis techniques for statistical analysis
- Can apply the cluster analysis techniques for statistical analysis
Reference Books:
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For detailed syllabus of all the other subjects of Industrial Engineering 5th Sem, visit Industrial 5th Sem subject syllabuses for 2021 regulation.
For all Industrial Engineering results, visit Anna University Industrial all semester results direct link.