Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté : électronique
Auteur(s) : Thompson, James Robert (1938-....)
Titre(s) : Empirical model building [Texte électronique] : data, models, and reality / James R. Thompson
Édition : 2nd ed.
Publication : Hoboken, N.J. : John Wiley & Sons, cop. 2011
Description matérielle : 1 ressource dématérialisée
Collection : Wiley series in probability and statistics
Note(s) : Includes bibliographical references and index
"This book presents a hands-on approach to the basic principles of empirical model
building through the shrewd mixture of differential equations, computer-intensive
methods, and data in a single-volume. It includes a series of real-world statistical
problems illustrating modeling skills and techniques that are applicable to a broad
range of audiences from applied statisticians to practicing MBAs. It covers models
of growth and decay, systems where competition and interaction add to the complexity
of the model, and discusses both classical and non-classical data analysis methods,
alongside an extended list of more than twenty essential topics. The author also includes
numerous exercises, an emphasis on computational finance and Bayesian techniques,
and timely discussions of epidemics, quality control, and chaos in a dynamic world"
Sujet(s) : Plan d'expérience
Modèles mathématiques
Statistique mathématique
Indice(s) Dewey :
519.57 (23e éd.) = Plan d'expériences (statistique mathématique)
Identifiants, prix et caractéristiques : ISBN 9781118109656
Identifiant de la notice : ark:/12148/cb44652620v
Notice n° :
FRBNF44652620
(notice reprise d'un réservoir extérieur)
Table des matières : Models of growth and decay ; Models of competition, survival, and combat ; Epidemics
; Bootstrapping ; Monte-Carlo solution of differential equations ; SIMEST, SMIDAT,
and psuedoreality ; Exploratory data analysis ; Noise killing chaos ; Bayesian
approaches ; Multivariate and robust procedures in statistical process control ;
Optimization and estimation in the real (noisy) world ; Utility and group preference
; A primer in sampling ; Stock market: strategies based on data versus strategies
based on ideology ; Appendix A.A brief Introduction to probability and statistics
; Appendix B. Statistical tables.
