Statistical Methods for Non-Precise Data

Reinhard Viertl

ISBN 10: 0849382424 / ISBN 13: 9780849382420

Editore: CRC Press, 1995

Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Couverture différente. Edition 1995. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slight signs of wear on the cover. Different cover. Edition 1995. Ammareal gives back up to 15% of this item's net price to charity organizations. Codice articolo C-926-697

Riassunto:

The formal description of non-precise data before their statistical analysis is, except for error models and interval arithmetic, a relatively young topic. Fuzziness is described in the theory of fuzzy sets but only a few papers on statistical inference for non-precise data exist. In many cases, for example when very small concentrations are being measured, it is necessary to describe the imprecision of data. Otherwise, the results of statistical analysis can be unrealistic and misleading. Fortunately, there is a straightforward technique for dealing with non-precise data. The technique - the generalized inference method - is explained in Statistical Methods for Non-Precise Data. Anyone who understands elementary statistical methods and simple stochastic models will be able to use this book to understand and work with non-precise data. The book includes explanations of how to cope with non-precise data in different practical situations, and makes an excellent graduate level text book for students, as well as a general reference for scientists and practitioners. Features

Informazioni sull?autore: Reinhard Viertl

Dati bibliografici

Titolo: Statistical Methods for Non-Precise Data
Casa editrice: CRC Press
Data di pubblicazione: 1995
Legatura: Hardcover
Condizione: Bon