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Image of - Multivariate Statistical Modeling In Engineering And Management | Paperback
Multivariate Statistical Modeling In Engineering And Management | Paperback

Multivariate Statistical Modeling In Engineering And Management | Paperback

by Maiti J.

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 domainProvides step by step procedure for estimating parameters of developed modelsProvides blueprint for data driven decision makingIncludes practical examples and case studies relevant for intended audiencesThe book will help everyone involved in data driven problem solving, modeling and decision making.

Highlights

  • binding-icon

    9781032300184

    ISBN:

  • binding-icon

    Maiti J.

    Author:

  • binding-icon

    612

    Pages:

  • binding-icon

    215 gm

    Weight:

  • langauage-icon

    English

    Language:

  • date-icon

    2023

    Year:

  • edition-icon

    1st Edition

    Edition:

  • binding-icon

    Paperback

    Binding:

₹6114

₹7643

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 domainProvides step by step procedure for estimating parameters of developed modelsProvides blueprint for data driven decision makingIncludes practical examples and case studies relevant for intended audiencesThe book will help everyone involved in data driven problem solving, modeling and decision making.

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