Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté : électronique
Auteur(s) : Kardaun, Otto J. W. F.
Titre(s) : Classical methods of statistics [Texte électronique] : with applications in fusion-oriented experimental plasma physics / Otto J.W.F. Kardaun
Publication : Berlin ; New York : Springer, cop. 2005
Description matérielle : 1 online resource (xiii, 388 pages)
Note(s) : Includes bibliographical references (pages 331-369) and index. - Intended for graduate students and researchers in the field of plasma physics
and its experimental aspects, as well as for students majoring in probability theory
and statistics.
Classical Methods of Statistics is a blend of theory and practical statistical methods
written for graduate students and researchers interested in applications to plasma
physics and its experimental aspects. It can also fruitfully be used by students majoring
in probability theory and statistics. In the first part, the mathematical framework
and some of the history of the subject are described. Many exercises help readers
to understand the underlying concepts. In the second part, two case studies are presented
exemplifying discriminant analysis and multivariate profile analysis. The introductions
of these case studies outline contextual magnetic plasma fusion research. In the third
part, an overview of statistical software is given and, in particular, SAS and S-PLUS
are discussed. In the last chapter, several datasets with guided exercises, predominantly
from the ASDEX Upgrade tokamak, are included and their physical background is concisely
described. The book concludes with a list of essential keyword translations
Sujet(s) : Physique statistique
Plasmas (gaz ionisés) -- Expériences -- Méthodes statistiques
Probabilités
Indice(s) Dewey :
530.159 5 (23e éd.) = Statistiques (physique mathématique)
Identifiants, prix et caractéristiques : ISBN 9783540292883
Identifiant de la notice : ark:/12148/cb44685063t
Notice n° :
FRBNF44685063
(notice reprise d'un réservoir extérieur)
Table des matières : Elements of Probability Theory ; Elements of Statistical Theory ; Applied Linear
Regression ; Profile Analysis ; Discriminant Analysis ; Statistical Software ;
Annotated Plasma Physical Datasets.
