Copt samuel (9 résultats)
- Autres images
Robust Methods in Biostatistics
Heritier, Stephane; Cantoni, Eva; Copt, Samuel; Victoria-feser, Maria-pia
- Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-UnisGreatBookPrices
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 105,09
EUR 2,29 expéditionExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New.
- Autres images
Robust Methods in Biostatistics
Heritier, Stephane; Cantoni, Eva; Copt, Samuel; Victoria-feser, Maria-pia
- Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-UnisGreatBookPrices
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Occasion - Comme neuf
EUR 111,32
EUR 2,29 expéditionExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : As New. Unread book in perfect condition.
Robust Methods in Biostatistics
Heritier, Stephane; Cantoni, Eva; Copt, Samuel; Victoria-Feser, Maria-Pia
- Couverture rigide
Vendeur : Ria Christie Collections, Uxbridge, Royaume-UniRia Christie Collections
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 101,59
EUR 13,99 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New. In.
Robust Methods in Biostatistics
Heritier, Stephane; Cantoni, Eva; Copt, Samuel; Victoria-feser, Maria-pia
- Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-UniGreatBookPricesUK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 99,19
EUR 17,52 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New.
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Robust Methods in Biostatistics
Stephane Heritier, Eva Cantoni, Samuel Copt, Maria-Pia Victoria-Feser
- Couverture rigide
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-UniRarewaves.com USA
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 129,54
Frais de port gratuitsExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Hardback. Etat : 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 model…s 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.
- Autres images
Robust Methods in Biostatistics
Heritier, Stephane; Cantoni, Eva; Copt, Samuel; Victoria-feser, Maria-pia
- Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-UniGreatBookPricesUK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Occasion - Comme neuf
EUR 113,65
EUR 17,52 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : As New. Unread book in perfect condition.
- Couverture rigide
Vendeur : Majestic Books, Hounslow, Royaume-UniMajestic Books
Contacter le vendeurVendeur avec une évaluation de 4 étoilesEtat: Neuf
EUR 128,48
EUR 7,59 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 3 disponible(s)
Etat : New. pp. 294 Illus.
- Couverture rigide
Vendeur : Books Puddle, New York, NY, Etats-UnisBooks Puddle
Contacter le vendeurVendeur avec une évaluation de 4 étoilesEtat: Neuf
EUR 141,69
EUR 3,46 expéditionExpédition nationale : Etats-UnisQuantité disponible : 3 disponible(s)
Etat : New. pp. 294 Index 1st Edition.
- Autres images
Robust Methods in Biostatistics
Stephane Heritier, Eva Cantoni, Samuel Copt, Maria-Pia Victoria-Feser
- Couverture rigide
Vendeur : Rarewaves.com UK, London, Royaume-UniRarewaves.com UK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 121,70
EUR 75,93 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Hardback. Etat : 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 model…s 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.
