Multivariate Statistical Modeling in Engineering and Management

Multivariate Statistical Modeling in Engineering and Management book cover

Multivariate Statistical Modeling in Engineering and Management

Author(s): Jhareswar Maiti (Author)

  • Publisher: CRC Press
  • Publication Date: 4 Oct. 2024
  • Edition: 1st
  • Language: English
  • Print length: 612 pages
  • ISBN-10: 1032300183
  • ISBN-13: 9781032300184

Book Description

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. A large number of multivariate statistical models are covered in the book. The readers will learn how a practical problem can be converted to a statistical problem and how the statistical solution can be interpreted as a practical solution.

Key features:

  • Links data generation process with statistical distributions in multivariate domain
  • Provides step by step procedure for estimating parameters of developed models
  • Provides blueprint for data driven decision making
  • Includes practical examples and case studies relevant for intended audiences

The book will help everyone involved in data driven problem solving, modeling and decision making.

Editorial Reviews

From the Back Cover

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.

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.

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