Multivariate Data Analysis detailed syllabus for Industrial Engineering & Management (IEM) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the IEM 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 & Management 5th Sem scheme and its subjects, do visit IEM 5th Sem 2021 regulation scheme. For Professional Elective-III scheme and its subjects refer to IEM 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 9
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 & Management 5th Sem, visit IEM 5th Sem subject syllabuses for 2021 regulation.
For all Industrial Engineering & Management results, visit Anna University IEM all semester results direct link.