A. K. MD Ehsanes Saleh Mohammad Arashi S. M. M. Tabatabaey
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
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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 w...
Andri?tte Bekker Johannes T. Ferreira Mohammad Arashi
Multivariate statistical analysis has undergone a rich and varied evolution during the latter half of the 20th century. Academics and practitioners have produced much literature with diverse interests and with varying multidisciplinary knowledge on different topics within the multivariate domain. Due to multivariate algebra being of sustained interest and being a continuously developing field, its appeal breaches laterally across multiple disciplines to act as a catalyst for contemporary advances, with its core inferential genesis remaining in that of statistics.It is exactly this varied...
Multivariate statistical analysis has undergone a rich and varied evolution during the latter half of the 20th century. Academics and practitioners ha...