OMG355: Multivariate Data Analysis syllabus for Civil 2021 regulation (Open Elective-IV)

Multivariate Data Analysis detailed syllabus for Civil Engineering (Civil) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the Civil 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 Civil Engineering 7th Sem scheme and its subjects, do visit Civil 7th Sem 2021 regulation scheme. For Open Elective-IV scheme and its subjects refer to Civil Open Elective-IV syllabus scheme. The detailed syllabus of multivariate data analysis is as follows.

Course Objectives:

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Unit I

INTRODUCTION 9 Uni-variate, Bi-variate and Multi-variate techniques – Classification of multivariate techniques -Guidelines for multivariate analysis and interpretation.

Unit II

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Unit III

MULTIPLE LINEAR REGRESSION ANALYSIS, FACTOR ANALYSIS 9 Multiple Linear Regression Analysis – Inferences from the estimated regression function – Validation of the model. -Approaches to factor analysis – interpretation of results.

Unit IV

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Unit V

ADVANCED MULTIVARIATE TECHNIQUES 9 Multiple Discriminant Analysis, Logistic Regression, Cluster Analysis, Conjoint Analysis, multidimensional scaling.

Course Outcomes:

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Reference Books:

1. Joseph F Hair, Rolph E Anderson, Ronald L. Tatham & William C. Black, Multivariate Data Analysis, Pearson Education, New Delhi, 2005.
2. Barbara G. Tabachnick, Linda S.Fidell, Using Multivariate Statistics, 6th Edition, Pearson, 2012.
3. Richard A Johnson and Dean W.Wichern, Applied Multivariate Statistical Analysis, Prentice Hall, New Delhi, 2005.
4. David R Anderson, Dennis J Seveency, and Thomas A Williams, Statistics for Business and Economics, Thompson, Singapore, 2002

For detailed syllabus of all the other subjects of Civil Engineering 7th Sem, visit Civil 7th Sem subject syllabuses for 2021 regulation.

For all Civil Engineering results, visit Anna University Civil all semester results direct link.