Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Very Good. 2006th Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Anbieter: SpringBooks, Berlin, Deutschland
Erstausgabe
Softcover. Zustand: As New. 1. Auflage. unread, like new.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Sprache: Englisch
Verlag: Springer, Berlin, Springer, 2010
ISBN 10: 364214103X ISBN 13: 9783642141034
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Dependence in Probability and Statistics | Paul Doukhan (u. a.) | Taschenbuch | xv | Englisch | 2010 | Springer | EAN 9783642141034 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 332 pages. 9.25x6.10x0.79 inches. In Stock.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 138,55
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Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Stochastic Models for Time Series | Paul Doukhan | Taschenbuch | Mathématiques et Applications | xx | Englisch | 2018 | Springer | EAN 9783319769370 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer, Palgrave Macmillan, 2018
ISBN 10: 3319769375 ISBN 13: 9783319769370
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents essential tools for modelling non-linear time series. The first part of the book describes the main standard tools of probability and statistics that directly apply to the time series context to obtain a wide range of modelling possibilities. Functional estimation and bootstrap are discussed, and stationarity is reviewed. The second part describes a number of tools from Gaussian chaos and proposesa tour of linear time series models.It goes on to address nonlinearity from polynomial or chaotic models for which explicit expansions are available,then turns to Markov and non-Markov linear models and discusses Bernoulli shifts time series models.Finally, the volume focuses on the limit theory, starting with the ergodic theorem, which is seen as the first step for statistics of time series. It defines the distributional range to obtain generic tools for limit theory under long or short-range dependences (LRD/SRD) and explains examples of LRD behaviours. More general techniques (central limit theorems) are described under SRD; mixing and weak dependence are also reviewed. In closing, it describes moment techniques together with their relations to cumulant sums as well as an application to kernel type estimation.The appendix reviews basic probability theory facts and discusses useful laws stemming from the Gaussian laws as well as the basic principles of probability, and is completed by R-scripts used for the figures.Richly illustrated with examples and simulations, the book is recommended for advanced master courses for mathematicians just entering the field of time series, and statisticians who want more mathematical insights into the background of non-linear time series.
Sprache: Englisch
Verlag: Springer-Verlag GmbH & Co. KG, 1994
ISBN 10: 3540942149 ISBN 13: 9783540942146
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Zustand: New. 2002. Hardcover. . . . . . Books ship from the US and Ireland.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 201,97
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In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 322 pages. 9.25x6.00x0.75 inches. In Stock.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Mixing is concerned with the analysis of dependence between sigma-fields defined on the same underlying probability space. It provides an important tool of analysis for random fields, Markov processes, central limit theorems as well as being a topic of current research interest in its own right. The aim of this monograph is to provide a study of applications of dependence in probability and statistics. It is divided in two parts, the first covering the definitions and probabilistic properties of mixing theory. The second part describes mixing properties of classical processes and random fields as well as providing a detailed study of linear and Gaussian fields. Consequently, this book will provide statisticians dealing with problems involving weak dependence properties with a powerful tool.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 213,81
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In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 154 pages. 7.25x6.25x0.50 inches. In Stock.