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Dependence in Probability and Statistics
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Dependence in Probability and Statistics - new book

2010, ISBN: 9783642141041

This volume contains several contributions on the general theme of dependence for several classes of stochastic processes, andits implicationson asymptoticproperties of various statistics… More...

Nr. 25419136. Shipping costs:, Sofort per Download lieferbar, DE. (EUR 0.00)
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Dependence in Probability and Statistics - Paul Doukhan; Gabriel Lang; Donatas Surgailis; Gilles Teyssière
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Paul Doukhan; Gabriel Lang; Donatas Surgailis; Gilles Teyssière:

Dependence in Probability and Statistics - new book

ISBN: 9783642141041

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 … More...

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Dependence in Probability and Statistics
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Dependence in Probability and Statistics - new book

ISBN: 9783642141041

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 … More...

Nr. 978-3-642-14104-1. Shipping costs:Worldwide free shipping, , DE. (EUR 0.00)
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Dependence in Probability and Statistics - Paul Doukhan; Gabriel Lang; Donatas Surgailis; Gilles Teyssière
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Paul Doukhan; Gabriel Lang; Donatas Surgailis; Gilles Teyssière:
Dependence in Probability and Statistics - new book

2010, ISBN: 9783642141041

eBooks, eBook Download (PDF), 2010, [PU: Springer Berlin], Springer Berlin, 2010

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Paul Doukhan; Gabriel Lang; Donatas Surgailis; Gilles Teyssière:
Dependence in Probability and Statistics - new book

2010, ISBN: 9783642141041

2010, eBook Download (PDF), eBooks, [PU: Springer Berlin]

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Details of the book - Dependence in Probability and Statistics


EAN (ISBN-13): 9783642141041
Publishing year: 2010
Publisher: Springer Berlin
205 Pages
Language: eng/Englisch

Book in our database since 2011-08-29T19:54:42+01:00 (London)
Detail page last modified on 2023-09-23T11:50:22+01:00 (London)
ISBN/EAN: 9783642141041

ISBN - alternate spelling:
978-3-642-14104-1
Alternate spelling and related search-keywords:
Book author: teyssiere, paul lang, gilles, ang, donat, paul gille, paul don, teyssié, wainwright, tey
Book title: dependence probability, statistics


Information from Publisher

Author: Paul Doukhan; Gabriel Lang; Donatas Surgailis; Gilles Teyssière
Title: Lecture Notes in Statistics; Dependence in Probability and Statistics
Publisher: Springer; Springer Berlin
205 Pages
Publishing year: 2010-07-23
Berlin; Heidelberg; DE
Language: English
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XV, 205 p. 13 illus.

EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Estimator; Measure; STATISTICA; bootstrap; change-point detection; linear regression; long memory; multifractality; wavelets; weak dependence; C; Probability Theory; Computational Mathematics and Numerical Analysis; Statistics and Computing; Statistical Theory and Methods; Mathematics and Statistics; Stochastik; Numerische Mathematik; Mathematische und statistische Software; BC

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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