Multi-Variate Statistical Analysis Ind Engg & Mang 5th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective I) detail syllabus for Industrial Engineering & Management (Ind Engg & Mang), 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 ind engg & mang 5th sem syllabus for be 2017 regulation anna univ you can visit Ind Engg & Mang 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 Ind Engg & Mang, 2017 regulation do visit Ind Engg & Mang 5th Sem syllabus for 2017 Regulation.
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