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Dependence in Probability and Statistics
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Dependence in Probability and Statistics - libro nuevo

ISBN: 9783642141034

This volume collects recent works on weakly dependent, long-memory and multifractal processes and introduces new dependence measures for studying complex stochastic systems. Other topics … Más…

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Dependence in Probability and Statistics
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Dependence in Probability and Statistics - libro nuevo

ISBN: 9783642141034

This volume collects recent works on weakly dependent, long-memory and multifractal processes and introduces new dependence measures for studying complex stochastic systems. Other topics … Más…

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Abhängigkeit in Wahrscheinlichkeit und Statistik - 9783642141034 - Paul Doukhan, Gabriel Lang, Gilles Teyssiere, Donatas Surgailis
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Paul Doukhan, Gabriel Lang, Gilles Teyssiere, Donatas Surgailis:
Abhängigkeit in Wahrscheinlichkeit und Statistik - 9783642141034 - Pasta blanda

ISBN: 9783642141034

ISBN-13: 9783642141034, 978-3642141034. Dependence in Probability and Statistics. These results are of interest for describing the asymptotic properties of bootstrap and permutation stati… Más…

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Dependence in Probability and Statistics, Kartoniert (TB) - libro nuevo

2010, ISBN: 364214103X

This account of recent works on weakly dependent, long memory and multifractal processes introduces new dependence measures for studying complex stochastic systems and includes other topi… Más…

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Paul Doukhan:
Dependence in Probability and Statistics Lecture Notes in Statistics, Volume 200 - Pasta blanda

2010, ISBN: 364214103X

[EAN: 9783642141034], Neubuch, [PU: Springer], New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000., Books

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Detalles del libro
Dependence in Probability and Statistics

This volume collects recent works on weakly dependent, long-memory and multifractal processes and introduces new dependence measures for studying complex stochastic systems. Other topics include the statistical theory for bootstrap and permutation statistics for infinite variance processes, the dependence structure of max-stable processes, and the statistical properties of spectral estimators of the long memory parameter. The asymptotic behavior of Fejér graph integrals and their use for proving central limit theorems for tapered estimators are investigated. New multifractal processes are introduced and their multifractal properties analyzed. Wavelet-based methods are used to study multifractal processes with different multiresolution quantities, and to detect changes in the variance of random processes. Linear regression models with long-range dependent errors are studied, as is the issue of detecting changes in their parameters.

Detalles del libro - Dependence in Probability and Statistics


EAN (ISBN-13): 9783642141034
ISBN (ISBN-10): 364214103X
Tapa dura
Tapa blanda
Año de publicación: 2010
Editorial: Springer
205 Páginas
Peso: 0,348 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2007-07-06T10:27:14-05:00 (Mexico City)
Página de detalles modificada por última vez el 2023-09-23T04:50:22-06:00 (Mexico City)
ISBN/EAN: 9783642141034

ISBN - escritura alterna:
3-642-14103-X, 978-3-642-14103-4
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: teyssiere, paul lang, gilles, doukhan, paul gille, von lang, paul don, teyssié, tey, gill paul
Título del libro: probability and statistics, dependence probability


Datos del la editorial

Autor: Paul Doukhan; Gabriel Lang; Donatas Surgailis; Gilles Teyssière
Título: Lecture Notes in Statistics; Dependence in Probability and Statistics
Editorial: Springer; Springer Berlin
205 Páginas
Año de publicación: 2010-08-11
Berlin; Heidelberg; DE
Impreso en
Idioma: Inglés
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XV, 205 p. 13 illus.

BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Mathematik; Estimator; Measure; STATISTICA; bootstrap; change-point detection; linear regression; long memory; multifractality; wavelets; weak dependence; Probability Theory; Computational Mathematics and Numerical Analysis; Statistics and Computing; Statistical Theory and Methods; Stochastik; Numerische Mathematik; Mathematische und statistische Software; EA

This volume collects recent works on weakly dependent, long-memory and multifractal processes and introduces new dependence measures for studying complex stochastic systems. Other topics include the statistical theory for bootstrap and permutation statistics for infinite variance processes, the dependence structure of max-stable processes, and the statistical properties of spectral estimators of the long memory parameter. The asymptotic behavior of Fejér graph integrals and their use for proving central limit theorems for tapered estimators are investigated. New multifractal processes are introduced and their multifractal properties analyzed. Wavelet-based methods are used to study multifractal processes with different multiresolution quantities, and to detect changes in the variance of random processes. Linear regression models with long-range dependent errors are studied, as is the issue of detecting changes in their parameters.
This volume provides the reader with a comprehensive recent account on dependent stochastic processes This book is a reference book for theoretical works, and provides some results that are of straight practical interest for the applied statistician/econometrician Includes supplementary material: sn.pub/extras

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