Heritier Stephane (25 results)

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Hardcover. Condition: Bon. Ancien livre de bibliothèque avec équipements. Edition 2012. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 2012. Ammareal gives back up to 15% of this item's net price to charity organizations.

Hardcover. Condition: Bon. Ancien livre de bibliothèque avec équipements. Edition 2012. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 2012. Ammareal gives back up to 15% of this item's net price to charity organizations.

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Hardcover. Condition: new. Hardcover. 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. * First book on robust techniques to be specifically aimed at biostatistics. * Supported by an accompanying website containing data sets, programs written in R and a user guide. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardback. 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.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: Brand New. 1st edition. 268 pages. 9.25x6.25x0.75 inches. In Stock.

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.

Taschenbuch. Condition: Neu. Neuware -Ce numéro spécial explore une dimension du patrimoine, principalement associée aux oeuvres de la nature. Comment les sites, désignés au titre du patrimoine naturel, sont-ils gérés et comment s'opère l'ouverture au tourisme N'y a-t-il pas contradiction entre la protection de ces sites dits naturels et leur mise en valeur A rebours, cette dernière ne vient-elle pas dénaturaliser / dénaturer ces sites Comment se patrimoine devient-il une ressource Books on Demand GmbH, Überseering 33, 22297 Hamburg 150 pp. Französisch.

Hardback. 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.

Buch. Condition: Neu. Neuware - 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 regression\* Generalized linear models\* Linear mixed models\* Marginal longitudinal data models\* Cox survival analysis modelThe 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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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Ce numéro spécial explore une dimension du patrimoine, principalement associée aux oeuvres de la nature. Comment les sites, désignés au titre du patrimoine naturel, sont-ils gérés et comment s'opère l'ouverture au tourisme N'y a-t-il pas contradiction entre la protection de ces sites dits naturels et leur mise en valeur A rebours, cette dernière ne vient-elle pas dénaturaliser / dénaturer ces sites Comment se patrimoine devient-il une ressource 150 pp. Französisch.

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Hardcover. Condition: new. Hardcover. 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. * First book on robust techniques to be specifically aimed at biostatistics. * Supported by an accompanying website containing data sets, programs written in R and a user guide. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Ce numéro spécial explore une dimension du patrimoine, principalement associée aux oeuvres de la nature. Comment les sites, désignés au titre du patrimoine naturel, sont-ils gérés et comment s'opère l'ouverture au tourisme N'y a-t-il pas contradiction entre la protection de ces sites dits naturels et leur mise en valeur A rebours, cette dernière ne vient-elle pas dénaturaliser / dénaturer ces sites Comment se patrimoine devient-il une ressource.

Taschenbuch. Condition: Neu. Le patrimoine naturel | Entre culture et ressource | Stéphane Heritier (u. a.) | Taschenbuch | 150 S. | Französisch | 2022 | Editions L'Harmattan | EAN 9782296080669 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand.