Da: LibSan, Athis Mons, Francia
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Aggiungi al carrelloCouverture souple. Condizione: Neuf. 2ème Édition.
Da: Gallix, Gif sur Yvette, Francia
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Aggiungi al carrelloCondizione: New. In.
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2009
ISBN 10: 0470027266 ISBN 13: 9780470027264
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 128,64
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Aggiungi al carrelloHardback. Condizione: New. Robust statistics is an extension of classical statistics that specifically takes into account the concept that the underlying models used to describe data are only approximate. Its basic philosophy is to produce statistical procedures which are stable when the data do not exactly match the postulated models as it is the case for example with outliers. Robust Methods in Biostatistics proposes robust alternatives to common methods used in statistics in general and in biostatistics in particular and illustrates their use on many biomedical datasets. The methods introduced include robust estimation, testing, model selection, model check and diagnostics. They are developed for the following general classes of models: Linear regressionGeneralized linear modelsLinear mixed modelsMarginal longitudinal data modelsCox survival analysis model The methods are introduced both at a theoretical and applied level within the framework of each general class of models, with a particular emphasis put on practical data analysis. This book is of particular use for research students,applied statisticians and practitioners in the health field interested in more stable statistical techniques. An accompanying website provides R code for computing all of the methods described, as well as for analyzing all the datasets used in the book.
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Aggiungi al carrelloCondizione: New. pp. 294 Illus.
Condizione: New. pp. 294 Index 1st Edition.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 268 pages. 9.25x6.25x0.75 inches. In Stock.
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Aggiungi al carrelloGebunden. Condizione: New. Robust statistics is an extension of classical statistics that specifically takes into account the concept that the underlying models used to describe data are only approximate. Its basic philosophy is to produce statistical procedures which are stable when.
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2009
ISBN 10: 0470027266 ISBN 13: 9780470027264
Da: Rarewaves.com UK, London, Regno Unito
EUR 120,40
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Aggiungi al carrelloHardback. Condizione: New. Robust statistics is an extension of classical statistics that specifically takes into account the concept that the underlying models used to describe data are only approximate. Its basic philosophy is to produce statistical procedures which are stable when the data do not exactly match the postulated models as it is the case for example with outliers. Robust Methods in Biostatistics proposes robust alternatives to common methods used in statistics in general and in biostatistics in particular and illustrates their use on many biomedical datasets. The methods introduced include robust estimation, testing, model selection, model check and diagnostics. They are developed for the following general classes of models: Linear regressionGeneralized linear modelsLinear mixed modelsMarginal longitudinal data modelsCox survival analysis model The methods are introduced both at a theoretical and applied level within the framework of each general class of models, with a particular emphasis put on practical data analysis. This book is of particular use for research students,applied statisticians and practitioners in the health field interested in more stable statistical techniques. An accompanying website provides R code for computing all of the methods described, as well as for analyzing all the datasets used in the book.
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Aggiungi al carrelloCondizione: Used: Like New. LIVRE A L?ETAT DE NEUF. EXPEDIE SOUS 3 JOURS OUVRES. NUMERO DE SUIVI COMMUNIQUE AVANT ENVOI, EMBALLAGE RENFORCE. EAN:9782287996702.
Da: Revaluation Books, Exeter, Regno Unito
EUR 132,98
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 268 pages. 9.25x6.25x0.75 inches. In Stock. This item is printed on demand.