Vai al contenuto principale della pagina

Introduction to robust estimation and hypothesis testing [[electronic resource] /] / Rand Wilcox



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Wilcox Rand R Visualizza persona
Titolo: Introduction to robust estimation and hypothesis testing [[electronic resource] /] / Rand Wilcox Visualizza cluster
Pubblicazione: Amsterdam ; ; Boston, : Academic Press, 2012
Edizione: 3rd ed.
Descrizione fisica: 1 online resource (713 p.)
Disciplina: 519.5/44
Soggetto topico: Estimation theory
Robust statistics
Statistical hypothesis testing
Soggetto genere / forma: Electronic books.
Note generali: Description based upon print version of record
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Machine generated contents note: Preface 1. Introduction 2. A Foundation for Robust Methods 3. Estimating Measures of Location and Scale 4. Confidence Intervals in the One-Sample Case 5. Comparing Two Groups 6. Some Multivariate Methods 7. One-Way and Higher Designs for Independent Groups 8. Comparing Multiple Dependent Groups 9. Correlation and Tests of Independence 10. Robust Regression 11. More Regression Methods.
Sommario/riassunto: "This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA) and regression, is remarkable. Through a combination of theoretical developments, improved and more flexible statistical methods, and the power of the computer, it is now possible to address problems with standard methods that seemed insurmountable only a few years ago"--
Titolo autorizzato: Introduction to robust estimation and hypothesis testing  Visualizza cluster
ISBN: 1-283-39408-1
9786613394088
0-12-387015-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910458014103321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Statistical Modeling and Decision Science