Description

This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors:

  • Includes a wide array of applications for the analysis of multivariate observations
  • Emphasizes the development of linear statistical models with applications to engineering, the physical sciences, and mathematics
  • Contains an up-to-date bibliography featuring the latest trends and advances in the field to provide a collective source for research on the topic
  • Addresses linear regression models with non-normal errors with practical real-world examples
  • Uniquely addresses regression models in Student's t-distributed errors and t-models
  • Supplemented with an Instructor's Solutions Manual, which is available via written request by the Publisher

Statistical Inference for Models with Multivariate t-Distributed Errors

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Hardback by A. K. Md. Ehsanes Saleh , Mohammad Arashi

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This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 17/10/2014
    ISBN13: 9781118854051, 978-1118854051
    ISBN10: 1118854055

    Number of Pages: 272

    Non Fiction , Mathematics & Science , Education

    Description

    This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors:

    • Includes a wide array of applications for the analysis of multivariate observations
    • Emphasizes the development of linear statistical models with applications to engineering, the physical sciences, and mathematics
    • Contains an up-to-date bibliography featuring the latest trends and advances in the field to provide a collective source for research on the topic
    • Addresses linear regression models with non-normal errors with practical real-world examples
    • Uniquely addresses regression models in Student's t-distributed errors and t-models
    • Supplemented with an Instructor's Solutions Manual, which is available via written request by the Publisher

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