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Statistical Methods for Biostatistics and Related Fields
Biostatistics is one of the scientific fields for which the recent developments have been extremely important. It is also strongly related to other scientific disciplines involving statistical methodology. The aim of this book is to cover a wide scope of recent statistical methods used by scientists...
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| Auteurs principaux : | , , |
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| Format : | Livre |
| Langue : | anglais |
| Titre complet : | Statistical Methods for Biostatistics and Related Fields / Wolfgang Härdle, Yuichi Mori, Philippe Vieu. |
| Publié : |
Berlin, Heidelberg :
Springer Berlin Heidelberg
, 2007 Cham : Springer Nature |
| Accès en ligne : |
Accès Nantes Université
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| Condition d'utilisation et de reproduction : | Conditions particulières de réutilisation pour les bénéficiaires des licences nationales : chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |
| Sujets : | |
| Documents associés : | Autre format:
Statistical Methods for Biostatistics and Related Fields Autre format: Statistical Methods for Biostatistics and Related Fields Autre format: Statistical Methods for Biostatistics and Related Fields |
| Résumé : | Biostatistics is one of the scientific fields for which the recent developments have been extremely important. It is also strongly related to other scientific disciplines involving statistical methodology. The aim of this book is to cover a wide scope of recent statistical methods used by scientists in biostatistics as well as in other related fields such as chemometrics, environmetrics and geophysics. The contributed papers, coming from internationally recognized researchers, present various statistical methodologies together with a selected scope of their main mathematical properties and their applications in real case studies, making this book of interest to a wide audience among researchers and students in statistics. Each method is accompanied with interactive and automatic Xplore routines, available on-line, allowing people to reproduce the proposed examples or to apply the methods to their own real datasets. Thus this book will also be of special interest to practitioners. |
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| ISBN : | 978-3-540-32691-5 |
| DOI : | 10.1007/978-3-540-32691-5 |