Multivariate Statistical Modeling in Engineering and Management

The book focuses on problem solving for practitioners and model building for academicians under multivariate situations. This book helps readers in understanding the issues, such as knowing variability, extracting patterns, building relationships, and making objective decisions.

List of contents

1. Introduction. 2. Basic Univariate Statistics. 3. Basic Computations. 4. Multivariate Descriptive Statistics. 5. Multivariate Normal Distribution. 6. Multivariate Inferencial Statistics. 7. Multivariate Analysis of Variance. 8. Multiple Linear Regression. 9. Multivariate Multiple Linear Regression. 10. Path Model. 11. Principal Component Analysis. 12. Exploratory Factor Analysis. 13. Confirmatory Factor Analysis. 14. Structural Equation Modeling.

About the author

Jhareswar Maiti (PhD, FIE), the Founder Chairman of the Centre of Excellence in Safety Engineering & Analytics (CoE-SEA) and Professor of the Department of Industrial and Systems Engineering, Indian Institute of Technology Kharagpur has over 20 years of teaching, research and consulting work in the fields of applied analytics and multivariate statistical modeling. He is pioneer in making Safety Analytics as core area of research in the broad domain of Safety Science. He has established a unique world class laboratory called "Safety Analytics and Virtual Reality Laboratory" at IIT Kharagpur.

Summary

The book focuses on problem solving for practitioners and model building for academicians under multivariate situations. This book helps readers in understanding the issues, such as knowing variability, extracting patterns, building relationships, and making objective decisions.

Product details

• Authors: Jhareswar Maiti
• Publisher: Taylor and Francis
• Languages: English
• Product format: Paperback / Softback
• Released: 04.10.2024
• EAN: 9781032300184
• ISBN: 978-1-032-30018-4
• No. of pages: 612
• Weight: 453 g
• Illustrations: schwarz-weiss Illustrationen, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss
• Subjects: Social sciences, law, business > Business > General, dictionaries; MATHEMATICS / Probability & Statistics / General, TECHNOLOGY & ENGINEERING / Industrial Engineering, BUSINESS & ECONOMICS / Quality Control, Economic statistics, Probability & statistics, Engineering: general, Probability and statistics, Econometrics and economic statistics