Multi-Variate Statistical Analysis Industrial Engg 5th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective I) detail syllabus for Industrial Engineering (Industrial Engg), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (IE8077), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other industrial engg 5th sem syllabus for be 2017 regulation anna univ you can visit Industrial Engg 5th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective I subjects do refer to Professional Elective I. The detail syllabus for multi-variate statistical analysis is as follows.
Course Objective:
- To impart knowledge on the applications of multivariate statistical analysis
Unit I
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Unit II
Regression
Inferences about population parameters – Simple Regression, and Correlation – Estimation using the regression line, correlation analysis, Multiple Regression- Logistic Regression – Canonical Correlation analysis-Multivariate analysis of variance.
Unit III
Factor Analysis
Principal components analysis – Objectives, estimation of principal components, testing for independence of variables, Factor analysis model – Method of estimation – Factor rotation -Factor Scores
Unit IV
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Unit V
Cluster Analysis
Cluster analysis – Clustering methods, Hierarchical clustering methods – Single Linkage, Complete Linkage, Average Linkage, Wards Hierarchical Clustering Method, Non Hierarchical Clustering methods – K-means Method, Validation and profiling of clusters
Course Outcome:
- Can apply the multivariate, regression, factor, discriminent and cluster analysis techniques for statistical analysis.
Text Books:
- Theodore W. Anderson, “An Introduction to Multivariate Statistical Analysis”, 3rd Edition, Wiley, 2003
References:
- Hardle, Wolfgang Karl, Simar, Leopold, “Applied Multivariate Statistical Analysis”, Springer 2015
- Adachi, Kohei, “Matrix-Based Introduction to Multivariate Data Analysis”, Springer, 2016
- J. Olive, David, “Robust Multivariate Analysis”, Springer 2017
For detail syllabus of all other subjects of BE Industrial Engg, 2017 regulation do visit Industrial Engg 5th Sem syllabus for 2017 Regulation.
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