Intermediate Probability A Computational Approach~tqw~ darksiderg

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  Intermediate Probability A Computational Approach~tqw~ darksiderg
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• Added:
  07/22/2008
• Last check:
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  *******************************************************************************<br /> Intermediate Probability: A Computational Approach <br /> *******************************************************************************<br /> <br /> -------------------------------------------------------------------------------<br /> General Information<br /> -------------------------------------------------------------------------------<br /> Type.................: Ebook<br /> Part Size............: 3,989,359 bytes<br /> <br /> <br /> <br /> <br /> -------------------------------------------------------------------------------<br /> Post Information<br /> -------------------------------------------------------------------------------<br /> Posted by............: ~tqw~<br /> <br /> -------------------------------------------------------------------------------<br /> Release Notes<br /> -------------------------------------------------------------------------------<br /> Intermediate Probability is the natural extension of the author's Fundamental <br /> Probability. It details several highly important topics, from standard ones such <br /> as order statistics, multivariate normal, and convergence concepts, to more <br /> advanced ones which are usually not addressed at this mathematical level, or <br /> have never previously appeared in textbook form. The author adopts a <br /> computational approach throughout, allowing the reader to directly implement the <br /> methods, thus greatly enhancing the learning experience and clearly illustrating <br /> the applicability, strengths, and weaknesses of the theory.<br /> <br /> Table of Contents<br /> <br /> Preface.<br /> I Sums of Random Variables.<br /> 1 Generating functions. <br /> 2 Sums and other functions of several random variables. <br /> 3 The multivariate normal distribution. <br /> II Asymptotics and Other Approximations.<br /> 4 Convergence concepts. <br /> 5 Saddlepoint approximations. <br /> 6 Order statistics. <br /> III More Flexible and Advanced Random Variables.<br /> 7 Generalizing and mixing. <br /> 8 The stable Paretian distribution. <br /> 9 Generalized inverse Gaussian and generalized hyperbolic distributions. <br /> 10 Noncentral distributions. <br /> A Notation and distribution tables.<br /> References.<br /> Index. <br /> <br /> Product Details<br /> <br /> * ISBN: 0470026375<br /> * ISBN-13: 9780470026373<br /> * Format: Hardcover, 480pp<br /> * Publisher: Wiley, John &amp; Sons, Incorporated<br /> * Pub. Date: October 2007<br /> <br /> -------------------------------------------------------------------------------<br /> Install Notes<br /> -------------------------------------------------------------------------------<br /> PDF Reader<br />
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