Mathematical statistics with resampling and R

This book bridges the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book shows how to apply mod...

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Detalles Bibliográficos
Otros Autores: Chihara, Laura, 1957- author (author), Hesterberg, Tim, 1959- author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken, New Jersey : Wiley 2011.
Edición:1st edition
Colección:New York Academy of Sciences
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628411606719
Descripción
Sumario:This book bridges the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book shows how to apply modern resampling techniques to mathematical statistics. Extensively class-tested to ensure an accessible presentation, Mathematical Statistics with Resampling and R utilizes the powerful and flexible computer language R to underscore the significance and benefits of modern resampling t
Notas:Description based upon print version of record.
Descripción Física:1 online resource (723 p.)
Bibliografía:Includes bibliographical references and index.
ISBN:9781118625750
9781118518953