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Couverture souple. Condition: Neuf. 2ème Édition.
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Condition: New.
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Condition: New.
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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Robust Methods in Biostatistics
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 82.47
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Robust Methods in Biostatistics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Robust Methods in Biostatistics
Language: English
Published by John Wiley and Sons Inc, US, 2009
ISBN 10: 0470027266 ISBN 13: 9780470027264
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketHardback. Condition: 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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Robust Methods in Biostatistics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Robust Methods in Biostatistics
Language: English
Published by John Wiley & Sons Inc, 2009
ISBN 10: 0470027266 ISBN 13: 9780470027264
Hardcover. Condition: Brand New. 1st edition. 268 pages. 9.25x6.25x0.75 inches. In Stock.
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Gebunden. Condition: 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.
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Robust Methods in Biostatistics
Language: English
Published by John Wiley and Sons Inc, US, 2009
ISBN 10: 0470027266 ISBN 13: 9780470027264
£ 101.15
£ 65 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: 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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Maîtriser l'aléatoire
Language: French
Published by Springer France (9/2009), 2009
ISBN 10: 2287996702 ISBN 13: 9782287996702
Condition: Used: Like New. LIVRE A L?ETAT DE NEUF. EXPEDIE SOUS 3 JOURS OUVRES. NUMERO DE SUIVI COMMUNIQUE AVANT ENVOI, EMBALLAGE RENFORCE. EAN:9782287996702.
