stephane heritier (29 risultati)

Hardcover. Condizione: Très 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, Very good. Former library book. Edition 2012. Ammareal gives back up to 15% of this item's net price to charity organizations.

Hardcover. Condizione: 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.

Condizione: Neuf.

Condizione: Neuf.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. In.

Condizione: New.

Condizione: Bon. Attention: Ancien support de bibliothèque, plastifié, étiquettes. Merci, votre achat aide à financer des programmes de lutte contre l'illettrisme.

Condizione: As New. Unread book in perfect condition.

Hardback. 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.

Condizione: New. pp. 294 Illus.

Condizione: New. * 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. Series: Wiley Series in Probability and Statistics. Num Pages: 294 pages, Illustrations. BIC Classification: PBT; PS. Category: (P) Professional & Vocational. Dimension: 233 x 157 x 21. Weight in Grams: 542. . 2009. 1st Edition. hardcover. . . . .

Condizione: New. pp. 294 Index 1st Edition.

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

Condizione: New. * 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. Series: Wiley Series in Probability and Statistics. Num Pages: 294 pages, Illustrations. BIC Classification: PBT; PS. Category: (P) Professional & Vocational. Dimension: 233 x 157 x 21. Weight in Grams: 542. . 2009. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.

Gebunden. 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.

Hardback. 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.

Buch. Condizione: 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.

Taschenbuch. Condizione: Neu. Le patrimoine naturel | Entre culture et ressource | Stéphane Heritier (u. a.) | Taschenbuch | 150 S. | Französisch | 2026 | 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.

Taschenbuch. Condizione: 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.

Hardcover. Condizione: 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 multiple locations in the US or from the UK, depending on stock availability.

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardcover. Condizione: 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.

Hardcover. Condizione: Brand New. 1st edition. 268 pages. 9.25x6.25x0.75 inches. In Stock. This item is printed on demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 146 pp. Französisch.

Taschenbuch. Condizione: 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.