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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 … Altro …

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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 … Altro …

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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 - edizione con copertina flessibile

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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… Altro …

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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… Altro …

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Paul Doukhan:
Dependence in Probability and Statistics Lecture Notes in Statistics, Volume 200 - edizione con copertina flessibile

2010, ISBN: 364214103X

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Dettagli 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.

Informazioni dettagliate del libro - Dependence in Probability and Statistics


EAN (ISBN-13): 9783642141034
ISBN (ISBN-10): 364214103X
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2010
Editore: Springer
205 Pagine
Peso: 0,348 kg
Lingua: eng/Englisch

Libro nella banca dati dal 2007-07-06T17:27:14+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-09-23T12:50:22+02:00 (Zurich)
ISBN/EAN: 9783642141034

ISBN - Stili di scrittura alternativi:
3-642-14103-X, 978-3-642-14103-4
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : teyssiere, paul lang, gilles, doukhan, paul gille, von lang, paul don, teyssié, tey, gill paul
Titolo del libro: probability and statistics, dependence probability


Dati dell'editore

Autore: Paul Doukhan; Gabriel Lang; Donatas Surgailis; Gilles Teyssière
Titolo: Lecture Notes in Statistics; Dependence in Probability and Statistics
Editore: Springer; Springer Berlin
205 Pagine
Anno di pubblicazione: 2010-08-11
Berlin; Heidelberg; DE
Stampato / Fatto in
Lingua: Inglese
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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