Expansions and Asymptotics for Statistics

Expansions and Asymptotics for Statistics PDF Author: Christopher G. Small
Publisher: CRC Press
ISBN: 1420011022
Category : Mathematics
Languages : en
Pages : 359

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Book Description
Asymptotic methods provide important tools for approximating and analysing functions that arise in probability and statistics. Moreover, the conclusions of asymptotic analysis often supplement the conclusions obtained by numerical methods. Providing a broad toolkit of analytical methods, Expansions and Asymptotics for Statistics shows how asymptoti

Expansions and Asymptotics for Statistics

Expansions and Asymptotics for Statistics PDF Author: Christopher G. Small
Publisher: CRC Press
ISBN: 1420011022
Category : Mathematics
Languages : en
Pages : 359

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Book Description
Asymptotic methods provide important tools for approximating and analysing functions that arise in probability and statistics. Moreover, the conclusions of asymptotic analysis often supplement the conclusions obtained by numerical methods. Providing a broad toolkit of analytical methods, Expansions and Asymptotics for Statistics shows how asymptoti

Higher Order Asymptotics

Higher Order Asymptotics PDF Author: J. K. Ghosh
Publisher: IMS
ISBN: 9780940600317
Category : Mathematics
Languages : en
Pages : 126

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Book Description


Normal Approximation and Asymptotic Expansions

Normal Approximation and Asymptotic Expansions PDF Author: Rabi N. Bhattacharya
Publisher: SIAM
ISBN: 089871897X
Category : Mathematics
Languages : en
Pages : 333

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Book Description
-Fourier analysis, --

Asymptotic Expansions for General Statistical Models

Asymptotic Expansions for General Statistical Models PDF Author: Johann Pfanzagl
Publisher: Springer Science & Business Media
ISBN: 1461564794
Category : Mathematics
Languages : en
Pages : 515

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Book Description
0.1. The aim of the book Our "Contributions to a General Asymptotic Statistical Theory" (Springer Lecture Notes in Statistics, Vol. 13, 1982, called "Vol. I" in the following) suggest to describe the local structure of a general family ~ of probability measures by its tangent space, and the local behavior of a functional K: ~ ~~k by its gradient. Starting from these basic concepts, asymptotic envelope power functions for tests and asymptotic bounds for the concentration of estimators are obtained, and heuristic procedures are suggested for the construction of test- and estimator-sequences attaining these bounds. In the present volume, these asymptotic investigations are carried one step further: From approximations by limit distributions to approximations by Edgeworth expansions, 1 2 adding one term (of order n- / ) to the limit distribution. As in Vol. I, the investigation is "general" in the sense of dealing with arbitrary families of probability measures and arbitrary functionals. The investigation is special in the sense that it is restricted to statistical procedures based on independent, identically distributed observations. 2 Moreover, it is special in the sense that its concern are "regular" models (i.e. families of probability measures and functionals which are subject to certain general conditions, like differentiability). Irregular models are certainly of mathematical interest. Since they are hardly of any practical relevance, it appears justifiable to exclude them at this stage of the investigation.

Asymptotic Statistics

Asymptotic Statistics PDF Author: Manfred Denker
Publisher: Springer Science & Business Media
ISBN: 9783764322823
Category : Science
Languages : en
Pages : 128

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Book Description
These notes are based on lectures presented during the seminar on " Asymptotic Statistics" held at SchloB Reisensburg, Gunzburg, May 29-June 5, 1988. They consist of two parts, the theory of asymptotic expansions in statistics and probabilistic aspects of the asymptotic distribution theory in nonparametric statistics. Our intention is to provide a comprehensive presentation of these two subjects, leading from elementary facts to the advanced theory and recent results. Prospects for further research are also included. We would like to thank all participants for their stimulating discussions and their interest in the subjects, which made lecturing very pleasant. Special thanks are due H. Zimmer for her excellent typing. We would also like to take this opportunity to to express our thanks to the Gesellschaft fur mathematische Forschung and to the Deutsche Mathematiker Vereinigung, especially to Professor G. Fischer, for the opportunity to present these lectures and to the Birkhauser Verlag for the publication of these lecture notes. R. Bhattacharya, M. Denker Part I: Asymptotic Expansions in Statistics Rabi Bhattacharya 11 ยง1. CRAMER-EDGEWORTH EXPANSIONS Let Q be a probability measure on (IRk, B"), B" denoting the Borel sigmafield on IR". Assume that the s - th absolute moment of Q is finite, (1.1) P. := J II x lis Q(dx)

Asymptotic Theory of Statistics and Probability

Asymptotic Theory of Statistics and Probability PDF Author: Anirban DasGupta
Publisher: Springer Science & Business Media
ISBN: 0387759700
Category : Mathematics
Languages : en
Pages : 726

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Book Description
This unique book delivers an encyclopedic treatment of classic as well as contemporary large sample theory, dealing with both statistical problems and probabilistic issues and tools. The book is unique in its detailed coverage of fundamental topics. It is written in an extremely lucid style, with an emphasis on the conceptual discussion of the importance of a problem and the impact and relevance of the theorems. There is no other book in large sample theory that matches this book in coverage, exercises and examples, bibliography, and lucid conceptual discussion of issues and theorems.

Asymptotics in Statistics

Asymptotics in Statistics PDF Author: Lucien Le Cam
Publisher: Springer Science & Business Media
ISBN: 146840377X
Category : Mathematics
Languages : en
Pages : 189

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Book Description
In the summer of 1968 one of the present authors (LLC) had the pleasure of giving a sequence of lectures at the University of Mon treal. Lecture notes were collected and written out by Drs. Catherine Doleans, Jean Haezendonck and Roch Roy. They were published in French by the Presses of the University of Montreal as part of their series of Seminaires de Mathematiques Superieures. Twenty years later it was decided that a Chinese translation could be useful, but upon prodding by Professor Shanti Gupta at Purdue we concluded that the notes should be updated and rewritten in English and in Chinese. The present volume is the result of that effort. We have preserved the general outline of the lecture notes, but we have deleted obsolete material and sketched some of the results acquired during the past twenty years. This means that while the original notes concentrated on the LAN situation we have included here some results of Jeganathan and others on the LAMN case. Also included are versions of the Hajek-Le Cam asymptotic minimax and convolution theorems with some of their implications. We have not attempted to give complete coverage of the subject and have often stated theorems without indicating their proofs.

Matched Asymptotic Expansions and Singular Perturbations

Matched Asymptotic Expansions and Singular Perturbations PDF Author:
Publisher: Elsevier
ISBN: 0080871178
Category : Mathematics
Languages : en
Pages : 153

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Book Description
Matched Asymptotic Expansions and Singular Perturbations

Asymptotic Expansions

Asymptotic Expansions PDF Author: E. T. Copson
Publisher: Cambridge University Press
ISBN: 9780521604826
Category : Mathematics
Languages : en
Pages : 136

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Book Description
Asymptotic representation of a function os of great importance in many branches of pure and applied mathematics.

Normal Approximation and Asymptotic Expansions

Normal Approximation and Asymptotic Expansions PDF Author: Rabindra Nath Bhattacharya
Publisher:
ISBN: 9780898719895
Category : Asymptotic expansions
Languages : en
Pages : 316

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Book Description
Although this was first published in 1976, it has gained new significance and renewed interest among statisticians due to the developments of modern statistical techniques such as the bootstrap, the efficacy of which can be ascertained by asymptotic expansions. This also is the only book containing a detailed treatment of various refinements of the multivariate central limit theorem (CLT), including Berry-Essen-type error bounds for probabilities of general classes of functions and sets, and asymptotic expansions for both lattice and non-lattice distributions.