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Titre :	Nonparametric statistical methods Ajouter au panier
Auteur(s) :	Myles Hollander, Auteur (et co-auteur) Douglas Alan Wolfe, Auteur (et co-auteur) Eric Chicken, Auteur (et co-auteur)
Type de document :	Livre
Sujets :	statistiques
Editeur(s) :	Hoboken, New Jersey : John Wiley & Sons, Inc.
Date de publication :	cop.2014
Collection :	Wiley series in probability and statistics, ISSN 1940-6517
Format :	1 vol.(XIII-819 p.) / 26 cm
Note(s) :	"Written by leading statisticians, this new edition has been completely updated to include additional modern topics and procedures, more real-world data sets, and more problems from real-life situations. Incorporating the R software program, this user-friendly book provides readers with an arsenal of nonparametric techniques, helping them develop the insight needed to choose appropriate procedures for various situations. It features five new chapters with added-on topics including Density Estimation, Kernel Regression, Nonparametric Regression, Ranked-Set Sampling, and Bayesian Nonparametrics"--Provided by publisher Introduction The dichotomous data problem The one-sample location problem The two-sample location problem The two-sample dispersion and other two-sample problems The one-way layout The two-way layout The independence problem Regression problems Comparing two success probabilities Life distributions and survival analysis Density estimation Wavelets Smoothing Ranked set sampling An introduction to Bayesian nonparametric statistics via the Dirichlet process
Langue(s) :	Anglais
Identifiant :	978-0-470-38737-5
Lien vers la notice :	https://infodoc.agroparistech.fr/index.php?lvl=notice_display&id=198001