Articles liés à Statistical Inference for Diffusion Type Processes
Synopsis
Decision making in all spheres of activity involves uncertainty. If rational decisions have to be made, they have to be based on the past observations of the phenomenon in question. Data collection, model building and inference from the data collected, validation of the model and refinement of the model are the key steps or building blocks involved in any rational decision making process. Stochastic processes are widely used for model building in the social, physical, engineering, and life sciences as well as in financial economics. Statistical inference for stochastic processes is of great importance from the theoretical as well as from applications point of view in model building. During the past twenty years, there has been a large amount of progress in the study of inferential aspects for continuous as well as discrete time stochastic processes. Diffusion type processes are a large class of continuous time processes which are widely used for stochastic modelling. the book aims to bring together several methods of estimation of parameters involved in such processes when the process is observed continuously over a period of time or when sampled data is available as generally feasible.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Bhagavatula Lakshmi Surya Prakasa Rao is an Indian statistician. He was born on 6 October 1942 in Porumamilla, Andhra Pradesh. He completed his B.A. course in Mathematics from Andhra University in 1960 and moved to the Indian Statistical Institute, Kolkata, where he completed his M.Stat in Statistics in 1962.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Statistical Inference for Diffusion Type Processes
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Statistical Inference for Diffusion Type Processes: Kendall's Library of Statistics 8
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Statistical Inference for Diffusion
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John Wiley & Sons, 1999
ISBN 10 : 0470711124
ISBN 13 : 9780470711125
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Etat : New. Decision making in all spheres of activity involves uncertainty. If rational decisions have to be made, they have to be based on the past observations of the phenomenon in question.KlappentextDecision making in all spheres of activit. N° de réf. du vendeur 446913434
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Statistical Inference for Diffusion Type Processes
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Statistical Inference for Diffusion Type Processes: Kendall's Library of Statistics 8
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John Wiley & Sons Inc, 2010
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ISBN 13 : 9780470711125
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Statistical Inference for Diffusion Type Processes: Kendall's Library of Statistics 8
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John Wiley & Sons Inc, 2010
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ISBN 13 : 9780470711125
Neuf
Couverture rigide
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Statistical Inference for Diffusion Type Processes: Kendall?s Library of Statistics 8
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Neuf
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Etat : New. Decision making in all spheres of activity involves uncertainty. If rational decisions have to be made, they have to be based on the past observations of the phenomenon in question. Num Pages: black & white illustrations. BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 244 x 165 x 26. Weight in Grams: 664. . 2010. 1st Edition. Hardcover. . . . . N° de réf. du vendeur V9780470711125
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Statistical Inference for Diffusion Type Processes (Hardcover)
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Hardcover. Etat : new. Hardcover. Decision making in all spheres of activity involves uncertainty. If rational decisions have to be made, they have to be based on the past observations of the phenomenon in question. Data collection, model building and inference from the data collected, validation of the model and refinement of the model are the key steps or building blocks involved in any rational decision making process. Stochastic processes are widely used for model building in the social, physical, engineering, and life sciences as well as in financial economics. Statistical inference for stochastic processes is of great importance from the theoretical as well as from applications point of view in model building. During the past twenty years, there has been a large amount of progress in the study of inferential aspects for continuous as well as discrete time stochastic processes. Diffusion type processes are a large class of continuous time processes which are widely used for stochastic modelling. the book aims to bring together several methods of estimation of parameters involved in such processes when the process is observed continuously over a period of time or when sampled data is available as generally feasible. Decision making in all spheres of activity involves uncertainty. If rational decisions have to be made, they have to be based on the past observations of the phenomenon in question. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780470711125
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Statistical Inference for Diffusion Type Processes
Edité par
John Wiley & Sons, 2010
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ISBN 13 : 9780470711125
Neuf
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