Applied Multi-Variate Statistical Analysis detailed syllabus for Industrial Engineering (Industrial) for 2019 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 2019 regulation scheme. For Professional Elective-I scheme and its subjects refer to Industrial Professional Elective-I syllabus scheme. The detailed syllabus of applied multi-variate statistical analysis is as follows.
Course Objective:
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Unit I
Multivariate Methods
Review of basic matrix operations and random vectors, Eigen values and Eigen vectors. An overview of multivariate methods, Multivariate normal distribution.
Unit II
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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 – EFA and CFA.
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:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
Text Books:
- Dallas E Johnson, Applied Multivariate methods for data analysis, Duxbury Press(1998).
- Joseph F. Hair, Jr. William C. Black Barry J. Babin, Rolph E. Anderson, Multivariate Data Analysis, Pearson Edition, (2010).
References:
- Richard I Levin, Statistics for Management, PHI (2000).
For detailed syllabus of all the other subjects of Industrial Engineering 5th Sem, visit Industrial 5th Sem subject syllabuses for 2019 regulation.
For all Industrial Engineering results, visit Anna University Industrial all semester results direct link.