Hardle martin (18 resultados)
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Librería: Better World Books Ltd, Dunfermline, Reino UnidoBetter World Books Ltd
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EUR 24,25
Envío por EUR 5,84Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: Very Good. 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.
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Librería: Better World Books Ltd, Dunfermline, Reino UnidoBetter World Books Ltd
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Aceptable
EUR 24,25
Envío por EUR 5,84Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Condición: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Librería: Better World Books, Mishawaka, IN, Estados Unidos de AmericaBetter World Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Aceptable
EUR 31,54
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Librería: Michener & Rutledge Booksellers, Inc., Baldwin City, KS, Estados Unidos de AmericaMichener & Rutledge Booksellers, Inc.
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Regular
EUR 37,78
Envío por EUR 5,18Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: Fair. Paper browned, otherwise text clean and solid; Lecture Notes in Statistics; 9.61 X 6.69 X 0.68 inches; 286 pages.
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Librería: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Alemaniabooks4less (Versandantiquariat Petra Gros GmbH & Co. KG)
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Bueno
EUR 8,45
Envío por EUR 15,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Broschiert. Condición: Gut. 286 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Deutsch Gewicht in Gramm: 4…60.
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Librería: Border Books, Hebden Bridge, Reino UnidoBorder Books
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EUR 9,63
Envío por EUR 40,89Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardback. Condición: GOOD. Estado de la sobrecubierta: DW VGC. WAS NEW SHOP STORED, SLIGHTLY FOXED TOP EDGE.
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Librería: CONTINENTAL MEDIA & BEYOND, Ocala, FL, Estados Unidos de AmericaCONTINENTAL MEDIA & BEYOND
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EUR 50,58
Envío por EUR 6,03Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: Used: Good. former library 1984 paperback vol 26 withdrawn stamp in book/ on edge of pages clean text tanned pages 286 pages/// K-13.
Idioma: Inglés
Editorial: Springer, New York ; Berlin ; Heidelberg ; Tokyo, 1984
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Librería: Antiquariat Lücke, Einzelunternehmung, Schweinfurt, AlemaniaAntiquariat Lücke, Einzelunternehmung
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Bueno
EUR 28,00
Envío por EUR 48,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Kartoniert. Condición: Gut. 25 cm Lecture Notes in Statistics, 26. VII, 286 S. Orig.-Karton. Mit graphischen Darstellungen. Gutes Exemplar.
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 116,59
Envío por EUR 14,00Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. In.
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 144,17
Envío por EUR 3,44Se envía dentro de Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. pp. 300 1st Edition.
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 152,93
Envío por EUR 14,60Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Paperback. Condición: Brand New. 1st edition. 286 pages. 9.75x6.75x0.75 inches. In Stock.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 114,36
Envío por EUR 62,61Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Classical time series methods are based on the assumption that a particular stochastic process model generates the observed data. The, most commonly used assumption is that the data is a realization of a stationary Gaussian process. However, since…the Gaussian assumption is a fairly stringent one, this assumption is frequently replaced by the weaker assumption that the process is wide~sense stationary and that only the mean and covariance sequence is specified. This approach of specifying the probabilistic behavior only up to 'second order' has of course been extremely popular from a theoretical point of view be cause it has allowed one to treat a large variety of problems, such as prediction, filtering and smoothing, using the geometry of Hilbert spaces. While the literature abounds with a variety of optimal estimation results based on either the Gaussian assumption or the specification of second-order properties, time series workers have not always believed in the literal truth of either the Gaussian or second-order specifica tion. They have none-the-less stressed the importance of such optimali ty results, probably for two main reasons: First, the results come from a rich and very workable theory. Second, the researchers often relied on a vague belief in a kind of continuity principle according to which the results of time series inference would change only a small amount if the actual model deviated only a small amount from the assum ed model.
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
Contactar con el vendedorVendedor de 4 estrellasCondición: Usado - Bueno
EUR 182,92
Envío por EUR 29,21Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: Very Good. Dust Jacket may NOT BE INCLUDED.CDs may be missing. SHIPS FROM MULTIPLE LOCATIONS. book.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 106,99
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Classical time series methods are based on the assumption that a particular stochastic process model generates the observed data. The, most commonly used assumption is that the data is a realization of a stationary Gaussian process.… However, since the Gaussian assumption is a fairly stringent one, this assumption is frequently replaced by the weaker assumption that the process is wide~sense stationary and that only the mean and covariance sequence is specified. This approach of specifying the probabilistic behavior only up to 'second order' has of course been extremely popular from a theoretical point of view be cause it has allowed one to treat a large variety of problems, such as prediction, filtering and smoothing, using the geometry of Hilbert spaces. While the literature abounds with a variety of optimal estimation results based on either the Gaussian assumption or the specification of second-order properties, time series workers have not always believed in the literal truth of either the Gaussian or second-order specifica tion. They have none-the-less stressed the importance of such optimali ty results, probably for two main reasons: First, the results come from a rich and very workable theory. Second, the researchers often relied on a vague belief in a kind of continuity principle according to which the results of time series inference would change only a small amount if the actual model deviated only a small amount from the assum ed model. 300 pp. Englisch.
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Librería: moluna, Greven, Alemaniamoluna
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 92,27
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Classical time series methods are based on the assumption that a particular stochastic process model generates the observed data. The, most commonly used assumption is that the data is a realization of a stationary Ga…ussian process. However, since the Gauss.
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 148,62
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Condición: New. Print on Demand pp. 300 67:B&W 6.69 x 9.61 in or 244 x 170 mm (Pinched Crown) Perfect Bound on White w/Gloss Lam.
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 152,48
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Condición: New. PRINT ON DEMAND pp. 300.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 106,99
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Classical time series methods are based on the assumption that a particular stochastic process model generates the observed data. The, most commonly used assumption is that the data is a realization of a stationary Gaussian process. How…ever, since the Gaussian assumption is a fairly stringent one, this assumption is frequently replaced by the weaker assumption that the process is wide~sense stationary and that only the mean and covariance sequence is specified. This approach of specifying the probabilistic behavior only up to 'second order' has of course been extremely popular from a theoretical point of view be cause it has allowed one to treat a large variety of problems, such as prediction, filtering and smoothing, using the geometry of Hilbert spaces. While the literature abounds with a variety of optimal estimation results based on either the Gaussian assumption or the specification of second-order properties, time series workers have not always believed in the literal truth of either the Gaussian or second-order specifica tion. They have none-the-less stressed the importance of such optimali ty results, probably for two main reasons: First, the results come from a rich and very workable theory. Second, the researchers often relied on a vague belief in a kind of continuity principle according to which the results of time series inference would change only a small amount if the actual model deviated only a small amount from the assum ed model.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 300 pp. Englisch.
