Asymptotic Distribution Theory for Generalized Functionals, Part I.

Asymptotic Distribution Theory for Generalized Functionals, Part I. PDF Author:
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Category :
Languages : en
Pages :

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Asymptotic Distribution Theory for Generalized Functionals

Asymptotic Distribution Theory for Generalized Functionals PDF Author: Witold J. Florczak
Publisher:
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Category :
Languages : en
Pages :

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Asymptotic Distribution Theory for Generalized Functionals, Part 2

Asymptotic Distribution Theory for Generalized Functionals, Part 2 PDF Author:
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Category :
Languages : en
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Distribution Theory and Transform Analysis

Distribution Theory and Transform Analysis PDF Author: A.H. Zemanian
Publisher: Courier Corporation
ISBN: 0486151948
Category : Mathematics
Languages : en
Pages : 404

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Distribution theory, a relatively recent mathematical approach to classical Fourier analysis, not only opened up new areas of research but also helped promote the development of such mathematical disciplines as ordinary and partial differential equations, operational calculus, transformation theory, and functional analysis. This text was one of the first to give a clear explanation of distribution theory; it combines the theory effectively with extensive practical applications to science and engineering problems. Based on a graduate course given at the State University of New York at Stony Brook, this book has two objectives: to provide a comparatively elementary introduction to distribution theory and to describe the generalized Fourier and Laplace transformations and their applications to integrodifferential equations, difference equations, and passive systems. After an introductory chapter defining distributions and the operations that apply to them, Chapter 2 considers the calculus of distributions, especially limits, differentiation, integrations, and the interchange of limiting processes. Some deeper properties of distributions, such as their local character as derivatives of continuous functions, are given in Chapter 3. Chapter 4 introduces the distributions of slow growth, which arise naturally in the generalization of the Fourier transformation. Chapters 5 and 6 cover the convolution process and its use in representing differential and difference equations. The distributional Fourier and Laplace transformations are developed in Chapters 7 and 8, and the latter transformation is applied in Chapter 9 to obtain an operational calculus for the solution of differential and difference equations of the initial-condition type. Some of the previous theory is applied in Chapter 10 to a discussion of the fundamental properties of certain physical systems, while Chapter 11 ends the book with a consideration of periodic distributions. Suitable for a graduate course for engineering and science students or for a senior-level undergraduate course for mathematics majors, this book presumes a knowledge of advanced calculus and the standard theorems on the interchange of limit processes. A broad spectrum of problems has been included to satisfy the diverse needs of various types of students.

Asymptotic Distribution Theory in Generalized Isotonic Regression

Asymptotic Distribution Theory in Generalized Isotonic Regression PDF Author: Stanford University. Department of Statistics
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 356

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Asymptotic Distribution Theory in Nonparametric Statistics

Asymptotic Distribution Theory in Nonparametric Statistics PDF Author: Manfred Denker
Publisher: Springer-Verlag
ISBN: 3663142299
Category : Business & Economics
Languages : de
Pages : 204

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A Distributional Approach to Asymptotics

A Distributional Approach to Asymptotics PDF Author: Ricardo Estrada
Publisher: Springer Science & Business Media
ISBN: 0817681302
Category : Mathematics
Languages : en
Pages : 467

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"...The authors of this remarkable book are among the very few who have faced up to the challenge of explaining what an asymptotic expansion is, and of systematizing the handling of asymptotic series. The idea of using distributions is an original one, and we recommend that you read the book...[it] should be on your bookshelf if you are at all interested in knowing what an asymptotic series is." -"The Bulletin of Mathematics Books" (Review of the 1st edition) ** "...The book is a valuable one, one that many applied mathematicians may want to buy. The authors are undeniably experts in their field...most of the material has appeared in no other book." -"SIAM News" (Review of the 1st edition) This book is a modern introduction to asymptotic analysis intended not only for mathematicians, but for physicists, engineers, and graduate students as well. Written by two of the leading experts in the field, the text provides readers with a firm grasp of mathematical theory, and at the same time demonstrates applications in areas such as differential equations, quantum mechanics, noncommutative geometry, and number theory. Key features of this significantly expanded and revised second edition: * addition of a new chapter and many new sections * wide range of topics covered, including the Ces.ro behavior of distributions and their connections to asymptotic analysis, the study of time-domain asymptotics, and the use of series of Dirac delta functions to solve boundary value problems * novel approach detailing the interplay between underlying theories of asymptotic analysis and generalized functions * extensive examples and exercises at the end of each chapter * comprehensive bibliography and index This work is an excellent tool for the classroom and an invaluable self-study resource that will stimulate application of asymptotic

Contributions to a General Asymptotic Statistical Theory

Contributions to a General Asymptotic Statistical Theory PDF Author: J. Pfanzagl
Publisher: Springer Science & Business Media
ISBN: 1461257697
Category : Mathematics
Languages : en
Pages : 324

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The Work of Raymond J. Carroll

The Work of Raymond J. Carroll PDF Author: Marie Davidian
Publisher: Springer
ISBN: 3319058010
Category : Mathematics
Languages : en
Pages : 599

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This volume contains Raymond J. Carroll's research and commentary on its impact by leading statisticians. Each of the seven main parts focuses on a key research area: Measurement Error, Transformation and Weighting, Epidemiology, Nonparametric and Semiparametric Regression for Independent Data, Nonparametric and Semiparametric Regression for Dependent Data, Robustness, and other work. The seven subject areas reviewed in this book were chosen by Ray himself, as were the articles representing each area. The commentaries not only review Ray’s work, but are also filled with history and anecdotes. Raymond J. Carroll’s impact on statistics and numerous other fields of science is far-reaching. His vast catalog of work spans from fundamental contributions to statistical theory to innovative methodological development and new insights in disciplinary science. From the outset of his career, rather than taking the “safe” route of pursuing incremental advances, Ray has focused on tackling the most important challenges. In doing so, it is fair to say that he has defined a host of statistics areas, including weighting and transformation in regression, measurement error modeling, quantitative methods for nutritional epidemiology and non- and semiparametric regression.

A-E

A-E PDF Author: Library of Congress. Office for Subject Cataloging Policy
Publisher:
ISBN:
Category : Subject headings, Library of Congress
Languages : en
Pages : 1548

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