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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… mais…
Paul Doukhan; Gabriel Lang; Donatas Surgailis; Gilles Teyssière:
Dependence in Probability and Statistics - nuovo livroISBN: 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 … mais…
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 … mais…
2010, ISBN: 9783642141041
eBooks, eBook Download (PDF), 2010, [PU: Springer Berlin], Springer Berlin, 2010
2010, ISBN: 9783642141041
2010, eBook Download (PDF), eBooks, [PU: Springer Berlin]
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Dados detalhados do livro - Dependence in Probability and Statistics
EAN (ISBN-13): 9783642141041
Ano de publicação: 2010
Editor/Editora: Springer Berlin
205 Páginas
Língua: eng/Englisch
Livro na base de dados desde 2011-08-29T15:54:42-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2023-09-23T07:50:22-03:00 (Sao Paulo)
Número ISBN/EAN: 9783642141041
Número ISBN - Ortografia alternativa:
978-3-642-14104-1
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: teyssiere, paul lang, gilles, ang, donat, paul gille, paul don, teyssié, wainwright, tey
Título do livro: dependence probability, statistics
Dados da editora
Autor: Paul Doukhan; Gabriel Lang; Donatas Surgailis; Gilles Teyssière
Título: Lecture Notes in Statistics; Dependence in Probability and Statistics
Editora: Springer; Springer Berlin
205 Páginas
Ano de publicação: 2010-07-23
Berlin; Heidelberg; DE
Língua: Inglês
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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