Asymptotic Distribution Theory for Generalized Functionals, Part I.

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

Asymptotic Distribution Theory for Generalized Functionals, Part I. PDF Author:
Publisher:
ISBN:
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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Languages : en
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Asymptotic Distribution Theory for Generalized Functionals

Asymptotic Distribution Theory for Generalized Functionals PDF Author: Witold J. Florczak
Publisher:
ISBN:
Category :
Languages : en
Pages : 20

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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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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 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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Asymptotic Analysis

Asymptotic Analysis PDF Author: Ricardo Estrada
Publisher: Springer Science & Business Media
ISBN: 1468400290
Category : Mathematics
Languages : en
Pages : 266

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Asymptotic analysis is an old subject that has found applications in vari ous fields of pure and applied mathematics, physics and engineering. For instance, asymptotic techniques are used to approximate very complicated integral expressions that result from transform analysis. Similarly, the so lutions of differential equations can often be computed with great accuracy by taking the sum of a few terms of the divergent series obtained by the asymptotic calculus. In view of the importance of these methods, many excellent books on this subject are available [19], [21], [27], [67], [90], [91], [102], [113]. An important feature of the theory of asymptotic expansions is that experience and intuition play an important part in it because particular problems are rather individual in nature. Our aim is to present a sys tematic and simplified approach to this theory by the use of distributions (generalized functions). The theory of distributions is another important area of applied mathematics, that has also found many applications in mathematics, physics and engineering. It is only recently, however, that the close ties between asymptotic analysis and the theory of distributions have been studied in detail [15], [43], [44], [84], [92], [112]. As it turns out, generalized functions provide a very appropriate framework for asymptotic analysis, where many analytical operations can be performed, and also pro vide a systematic procedure to assign values to the divergent integrals that often appear in the literature.

Functional Analysis and Approximation

Functional Analysis and Approximation PDF Author: P.L. Butzer
Publisher: Birkhäuser
ISBN: 3034893698
Category : Mathematics
Languages : en
Pages : 461

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Book Description
These Proceedings form a record of the lectures presented at the interna tional Conference on Functional Analysis and Approximation held at the Ober wolfach Mathematical Research Institute, August 9-16, 1980. They include 33 of the 38 invited conference papers, as well as three papers subsequently submitted in writing. Further, there is a report devoted to new and unsolved problems, based on two special sessions of the conference. The present volume is the sixth Oberwolfach Conference in Birkhauser's ISNM series to be edited at Aachen *. It is once again devoted to more significant results obtained in the wide areas of approximation theory, harmonic analysis, functional analysis, and operator theory during the past three years. Many of the papers solicited not only outline fundamental advances in their fields but also focus on interconnections between the various research areas. The papers in the present volume have been grouped into nine chapters. Chapter I, on operator theory, deals with maps on positive semidefinite opera tors, spectral bounds of semigroup operators, evolution equations of diffusion type, the spectral theory of propagators, and generalized inverses. Chapter II, on functional analysis, contains papers on modular approximation, interpolation spaces, and unconditional bases.

Robust Asymptotic Statistics

Robust Asymptotic Statistics PDF Author: Helmut Rieder
Publisher: Springer Science & Business Media
ISBN: 1468406248
Category : Mathematics
Languages : en
Pages : 409

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Book Description
1 To the king, my lord, from your servant Balasi : 2 ... The king should have a look. Maybe the scribe who reads to the king did not understand . . . . shall I personally show, with this tablet that I am sending to the king, my lord, how the omen was written. 3 Really, he who has not followed the text with his finger cannot possibly understand it. This book is about optimally robust functionals and their unbiased esti mators and tests. Functionals extend the parameter of the assumed ideal center model to neighborhoods of this model that contain the actual distri bution. The two principal questions are (F): Which functional to choose? and (P): Which statistical procedure to use for the selected functional? Using a local asymptotic framework, we deal with both problems by linking up nonparametric statistical optimality with infinitesimal robust ness criteria. Thus, seemingly separate developments in robust statistics are presented in a unifying way.

Lectures on Probability Theory and Statistics

Lectures on Probability Theory and Statistics PDF Author: Roland Dobrushin
Publisher: Springer
ISBN: 3540496351
Category : Mathematics
Languages : en
Pages : 308

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