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Statistical data analysis / G. Cowan (1998)

Public Titre : Statistical data analysis Type de document : Guide/Manuel Auteurs : G. Cowan, Auteur Editeur : Oxford, Londres, ... : Oxford University Press Année de publication : 1998 Importance : 197 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-0-19-850155-8 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques [Termes IGN] analyse de données [Termes IGN] distribution de Cauchy [Termes IGN] distribution de Gauss [Termes IGN] méthode de Monte-Carlo [Termes IGN] méthode du maximum de vraisemblance (estimation) Résumé : (Editeur) This book is a guide to the practical application of statistics to data analysis in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are taken from particle physics, the material is presented in a sufficiently general way as to be useful to people from most branches of the physical sciences. The first part of the book describes the basic tools of data analysis: concepts of probability and random variables, Monte Carlo techniques, statistical tests, and methods of parameter estimation. The last three chapters then develop more advanced statistical ideas, focusing on interval estimation, characteristic functions, and correcting distributions for the effects of measurement errors (unfolding). Note de contenu : 1. Fundamental Concepts 2. Examples of Probability Functions 3. The Monte Carlo Method 4. Statistical Tests 5. General Concepts of Parameter Estimation 6. The Method of Maximum Likelihood 7. The Method of Least Squares 8. The Method of Moments 9. Statistical Errors, Confidence Intervals and Limits 10. Characteristic Functions and Related Examples 11. Unfolding Numéro de notice : 20799 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Manuel Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=63133