Adrian Pizzinga (13 results)

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  • Language: English

    Published by Springer, 2012

    1461447372 / 9781461447375

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  • Language: English

    Published by Springer 7/24/2012, 2012

    1461447372 / 9781461447375

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    Paperback or Softback. Condition: New. Restricted Kalman Filtering: Theory, Methods, and Application. Book.

  • Language: English

    Published by Springer, 2012

    1461447372 / 9781461447375

    • Softcover

    Seller: California Books, Miami, FL, U.S.A.California Books

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  • Language: English

    Published by Springer, 2012

    1461447372 / 9781461447375

    • Softcover

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  • Language: English

    Published by Springer, 2012

    1461447372 / 9781461447375

    • Softcover

    Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections

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    Condition: New. In English.

  • Language: English

    Published by Springer, 2012

    1461447372 / 9781461447375

    • Softcover

    Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK

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  • Language: English

    Published by Springer, 2012

    1461447372 / 9781461447375

    • Softcover

    Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK

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  • Language: English

    Published by Springer Verlag, 2012

    1461447372 / 9781461447375

    • Softcover

    Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

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    Paperback. Condition: Brand New. 2012 edition. 72 pages. 9.25x6.10x0.17 inches. In Stock.

  • Language: English

    Published by Springer New York, 2012

    1461447372 / 9781461447375

    • Softcover

    Seller: moluna, Greven, Germanymoluna

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    Kartoniert / Broschiert. Condition: New.

  • Language: English

    Published by Springer, Copernicus, 2012

    1461447372 / 9781461447375

    • Softcover

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - In statistics, the Kalman filter is a mathematical method whose purpose is to use a series of measurements observed over time, containing random variations and other inaccuracies, and produce estimates that tend to be closer to the true unknown values than those that would be based on a single measurement alone. This Brief offers developments on Kalman filtering subject to general linear constraints. There are essentially three types of contributions: new proofs for results already established; new results within the subject; and applications in investment analysis and macroeconomics, where the proposed methods are illustrated and evaluated. The Brief has a short chapter on linear state space models and the Kalman filter, aiming to make the book self-contained and to give a quick reference to the reader (notation and terminology). The prerequisites would be a contact with time series analysis in the level of Hamilton (1994) or Brockwell & Davis (2002) and also with linear state models and the Kalman filter - each of these books has a chapter entirely dedicated to the subject. The book is intended for graduate students, researchers and practitioners in statistics (specifically: time series analysis and econometrics).

  • Language: English

    Published by Springer, 2012

    1461447372 / 9781461447375

    • Softcover
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    Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand

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    Condition: new. Questo è un articolo print on demand.

  • Language: English

    Published by Springer New York Jul 2012, 2012

    1461447372 / 9781461447375

    • Softcover
    • Print on Demand

    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In statistics, the Kalman filter is a mathematical method whose purpose is to use a series of measurements observed over time, containing random variations and other inaccuracies, and produce estimates that tend to be closer to the true unknown values than those that would be based on a single measurement alone. This Brief offers developments on Kalman filtering subject to general linear constraints. There are essentially three types of contributions: new proofs for results already established; new results within the subject; and applications in investment analysis and macroeconomics, where the proposed methods are illustrated and evaluated. The Brief has a short chapter on linear state space models and the Kalman filter, aiming to make the book self-contained and to give a quick reference to the reader (notation and terminology). The prerequisites would be a contact with time series analysis in the level of Hamilton (1994) or Brockwell & Davis (2002) and also with linear state models and the Kalman filter - each of these books has a chapter entirely dedicated to the subject. The book is intended for graduate students, researchers and practitioners in statistics (specifically: time series analysis and econometrics). 72 pp. Englisch.

  • Language: English

    Published by Springer, Copernicus Jul 2012, 2012

    1461447372 / 9781461447375

    • Softcover
    • Print on Demand

    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -¿¿¿¿¿¿¿¿ ¿In statistics, the Kalman filter is a mathematical method whose purpose is to use a series of measurements observed over time, containing random variationsand other inaccuracies, and produce estimates that tend to be closer to the true unknown values than those that would be based on a single measurement alone. This Briefoffers developments on Kalman filtering subject to general linear constraints. There are essentially three types of contributions: new proofs for results already established; new results within the subject; and applications in investment analysis and macroeconomics, where the proposed methods are illustrated and evaluated. The Briefhas a short chapter on linear state space models and the Kalman filter, aiming to make the book self-contained and to give a quick reference to the reader (notation and terminology). The prerequisites would be a contact with time series analysis in the level of Hamilton (1994) or Brockwell & Davis (2002) and also with linear state models and the Kalman filter - each of these books has a chapter entirely dedicated to the subject. The book is intended for graduate students, researchers and practitioners in statistics (specifically: time series analysis and econometrics).Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 72 pp. Englisch.