S. M. M. Tabatabaey – författare
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3 produkter
3 produkter
E-bok
PDF, Engelska, 20141 509 kr
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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 PublisherE-bok
Engelska, 20141 496 kr
Läs direkt efter köp
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 PublisherInbunden, Engelska, 2014
1 337 kr
Skickas inom 5-8 vardagar
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 observationsEmphasizes the development of linear statistical models with applications to engineering, the physical sciences, and mathematicsContains an up-to-date bibliography featuring the latest trends and advances in the field to provide a collective source for research on the topicAddresses linear regression models with non-normal errors with practical real-world examplesUniquely addresses regression models in Student's t-distributed errors and t-modelsSupplemented with an Instructor's Solutions Manual, which is available via written request by the Publisher