Language: English
Published by Amer Mathematical Society, 1988
ISBN 10: 0821850873 ISBN 13: 9780821850879
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Language: English
Published by Taylor & Francis Group, 1990
ISBN 10: 0824784170 ISBN 13: 9780824784171
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Condition: New. pp. 292.
Language: English
Published by Taylor & Francis Group, 1990
ISBN 10: 0824784170 ISBN 13: 9780824784171
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Language: English
Published by Cambridge University Press., 2006
ISBN 10: 0521849403 ISBN 13: 9780521849401
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First Edition
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Published by Springer (India) Private Limited, 2012
ISBN 10: 8132207629 ISBN 13: 9788132207627
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Language: English
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032242884 ISBN 13: 9781032242880
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Language: English
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032242884 ISBN 13: 9781032242880
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ISBN 10: 1032242884 ISBN 13: 9781032242880
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Language: English
Published by Taylor & Francis Ltd, 2019
ISBN 10: 0367403072 ISBN 13: 9780367403072
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Language: English
Published by Springer India, Springer, 2012
ISBN 10: 8132207629 ISBN 13: 9788132207627
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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.
Taschenbuch. Condition: 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.