Sprache: Englisch
Verlag: Amer Mathematical Society, 1988
ISBN 10: 0821850873 ISBN 13: 9780821850879
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Soft cover. Zustand: Very Good+. No Jacket. 1st Edition.
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hardcover. Zustand: Very Good. Very Good. Gently used with no markings in text. Binding is tight.
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. pp. 292.
Zustand: Very Good. *Price HAS BEEN REDUCED by 10% until Monday, May 11 (SALE item)* 352 pp., hardcover, 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: Biblios, Frankfurt am main, HESSE, Deutschland
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Anbieter: Sonnets And Symphonies, Bristol, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Good. Image shows actual book for sale. Book Condition: Good; firm binding; contents good; owner's name; no dust jacket. Hard Cover Academic Press 1980 Mathematics.
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Sprache: Englisch
Verlag: Cambridge University Press., 2006
ISBN 10: 0521849403 ISBN 13: 9780521849401
Anbieter: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Deutschland
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1st ed. 17 x 24 cm. 602 pages. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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Sprache: Englisch
Verlag: Springer (India) Private Limited, 2012
ISBN 10: 8132207629 ISBN 13: 9788132207627
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. pp. 128.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 2013 edition. 124 pages. 8.75x6.00x0.25 inches. In Stock.
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Sprache: Englisch
Verlag: Chapman and Hall/CRC 2021-12-13, 2021
ISBN 10: 1032242884 ISBN 13: 9781032242880
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This work is an overview of statistical inference in stationary, discrete time stochastic processes. Results in the last fifteen years, particularly on non-Gaussian sequences and semi-parametric and non-parametric analysis have been reviewed. The first chapter gives a background of results on martingales and strong mixing sequences, which enable us to generate various classes of CAN estimators in the case of dependent observations. Topics discussed include inference in Markov chains and extension of Markov chains such as Raftery's Mixture Transition Density model and Hidden Markov chains and extensions of ARMA models with a Binomial, Poisson, Geometric, Exponential, Gamma, Weibull, Lognormal, Inverse Gaussian and Cauchy as stationary distributions. It further discusses applications of semi-parametric methods of estimation such as conditional least squares and estimating functions in stochastic models. Construction of confidence intervals based on estimating functions is discussed in some detail. Kernel based estimation of joint density and conditional expectation are also discussed. Bootstrap and other resampling procedures for dependent sequences such as Markov chains, Markov sequences, linear auto-regressive moving average sequences, block based bootstrap for stationary sequences and other block based procedures are also discussed in some detail. This work can be useful for researchers interested in knowing developments in inference in discrete time stochastic processes. It can be used as a material for advanced level research students.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Statistical Inference for Discrete Time Stochastic Processes | M. B. Rajarshi | Taschenbuch | SpringerBriefs in Statistics | xi | Englisch | 2012 | Springer | EAN 9788132207627 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.