Statistical Methods for Non-Precise Data by Reinhard Viertl

Statistical Methods for Non-Precise Data by Reinhard Viertl

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

SKU	Nicht verfügbar
ISBN 13	9780849382420
ISBN 10	0849382424
Titel	Statistical Methods for Non-Precise Data
Autor	Reinhard Viertl
Buchzustand	Nicht verfügbar
Verlag	Taylor & Francis Inc
Erscheinungsjahr	1995-11-29
Seitenanzahl	208
Hinweis auf dem Einband	Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden.
Hinweis	Nicht verfügbar