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In den WarenkorbZustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:0387961410.
Zustand: Fine. First edition, first printing, 324 pp., hardcover, previous owner's name to the front free endpaper, else very good. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Anbieter: Hay-on-Wye Booksellers, Hay-on-Wye, HEREF, Vereinigtes Königreich
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In den WarenkorbZustand: Good. extremities to the book with foxing to the outer edge with a inscription to the intro page but does not affect the content.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 79,69
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In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 324 pages. 9.25x6.10x0.79 inches. In Stock.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Parameter Estimation and Hypothesis Testing in Spectral Analysis of Stationary Time Series | K. Dzhaparidze | Taschenbuch | 324 S. | Englisch | 2011 | Springer US | EAN 9781461293255 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - . . ) (under the assumption that the spectral density exists). For this reason, a vast amount of periodical and monographic literature is devoted to the nonparametric statistical problem of estimating the function tJ( T) and especially that of leA) (see, for example, the books [4,21,22,26,56,77,137,139,140,]). However, the empirical value t;; of the spectral density I obtained by applying a certain statistical procedure to the observed values of the variables Xl' . . . , X , usually depends in n a complicated manner on the cyclic frequency). . This fact often presents difficulties in applying the obtained estimate t;; of the function I to the solution of specific problems rela ted to the process X . Theref ore, in practice, the t obtained values of the estimator t;; (or an estimator of the covariance function tJ~( T' are almost always 'smoothed,' i. e. , are approximated by values of a certain sufficiently simple function 1 = 1.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 124,49
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In den WarenkorbZustand: New. pp. 324.