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9783319769370 - Paul Doukhan: Stochastic Models for Time Series (Mathématiques et Applications)
1
Paul Doukhan (?):

Stochastic Models for Time Series (Mathématiques et Applications) (2018) (?)

ISBN: 9783319769370 (?) or 3319769375, in english, Springer, Paperback, New, first edition

56.18 ($ 69.99)¹(without obligation)
Not yet published, plus shipping (wenn der Anbieter in Ihr Land liefert)
From Seller/Antiquarian, Amazon.com
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 proposes a 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.  , paperback, Ausgabe: 1st Ed. 2018, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2018-09-02, Studio: Springer
Platform order number Amazon.com: c%2BqsdqZd1QaNbL2%2BV7AEAARj20 feEDdmPObyr9J2SeX2uDfGCGZxAiYJ 5GwHKSEN5Ar8L%2BGR3CZUm894za0b FR6z0YHMRa8nIWfLGuCxVDEdphZqKO NzRg%3D%3D
Keywords: Books, Business & Money, Economics, Econometrics, Science & Math, Mathematics, Applied, Probability & Statistics, Mathematical Analysis
Data from 02/01/2018 23:15h
ISBN (alternative notations): 3-319-76937-5, 978-3-319-76937-0
9783319769370 - Paul Doukhan: Stochastic Models for Time Series
2
Paul Doukhan (?):

Stochastic Models for Time Series (?)

ISBN: 9783319769370 (?) or 3319769375, in german, Springer Nature, New

In Stock, plus shipping
From Seller/Antiquarian
Non-linear time series, Integer valued models, Markov chains, Stochastic processes, Gaussian Convergence, Spectral estimation, Memory models, LARCH-type models, Weak dependence conditions, Functional estimation, Bootstrap, Non-Markove linear models, Statistics; Statistical Theory and Methods; Probability Theory and Stochastic Processes; Econometrics; Dynamical Systems and Ergodic Theory
Seller order number: 9783319769370
Platform order number Springer.com (DE): sde-9783319769370
Category: Books
Data from 02/01/2018 23:15h
ISBN (alternative notations): 3-319-76937-5, 978-3-319-76937-0

9783319769370

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