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Dependence in Probability and Statistics - nouveau livre

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 … Plus…

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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 … Plus…

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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 - Livres de poche

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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… Plus…

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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… Plus…

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Paul Doukhan:
Dependence in Probability and Statistics Lecture Notes in Statistics, Volume 200 - Livres de poche

2010, ISBN: 364214103X

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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.

Informations détaillées sur le livre - Dependence in Probability and Statistics


EAN (ISBN-13): 9783642141034
ISBN (ISBN-10): 364214103X
Version reliée
Livre de poche
Date de parution: 2010
Editeur: Springer
205 Pages
Poids: 0,348 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2007-07-06T17:27:14+02:00 (Zurich)
Page de détail modifiée en dernier sur 2023-09-23T12:50:22+02:00 (Zurich)
ISBN/EAN: 9783642141034

ISBN - Autres types d'écriture:
3-642-14103-X, 978-3-642-14103-4
Autres types d'écriture et termes associés:
Auteur du livre: teyssiere, paul lang, gilles, doukhan, paul gille, von lang, paul don, teyssié, tey, gill paul
Titre du livre: probability and statistics, dependence probability


Données de l'éditeur

Auteur: Paul Doukhan; Gabriel Lang; Donatas Surgailis; Gilles Teyssière
Titre: Lecture Notes in Statistics; Dependence in Probability and Statistics
Editeur: Springer; Springer Berlin
205 Pages
Date de parution: 2010-08-11
Berlin; Heidelberg; DE
Imprimé / Fabriqué en
Langue: Anglais
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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