Statistical Inference for Models with Multivariate t-Distributed Errors

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