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This book concentrates on the topic of evaluation of Jacobians in some specific linear as well as nonlinear matrix transformations, in the real and complex cases, which are widely applied in the statistical, physical, engineering, biological and social sciences. It aims to develop some techniques systematically so that anyone with a little exposure to multivariable calculus can easily follow the steps and understand the various methods by which the Jacobians in complicated matrix transformations are evaluated. The material is developed slowly, with lots of worked examples, aimed at self-study. Some exercises are also given, at the end of each section.
The book is a valuable reference for statisticians, engineers, physicists, econometricians, applied mathematicians and people working in many other areas. It can be used for a one-semester graduate level course on Jacobians and functions of matrix argument.
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Ebook for Markov Chain Monte Carlo Simulations and Their Statistical Analysis With Web-Based Fortran Code is an incredible research guide that exceeds and beyond what is frequently anticipated. The thorough construction of this source, which combines intellectual insights with useful approaches to exam preparation, makes it an exceptionally useful instrument for pupils. This guidebook, which was composed by $_authors$, who are well-regarded academics in their respective fields, and released by $_publisher$ on $_publish_date$, is an crucial source for anybody that is pursuing attaining achievement in Test bank, Solution manual.
This book concentrates on the topic of evaluation of Jacobians in some specific linear as well as nonlinear matrix transformations, in the real and complex cases, which are widely applied in the statistical, physical, engineering, biological and social
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