Statistical computing with R / Maria L. Rizzo

By: Rizzo, Maria LMaterial type: TextTextPublication details: Boca Raton : Chapman & Hall, 2008 Description: XVI, 399 p. : il., gráf. ; 25 cmISBN: 1-58488-545-9Subject(s): R (Lenguaje de programación) | Estadística -- Proceso de datos | Análisis numéricoSummary: Focusing on implementation rather than theory, "Statistical Computing with R" serves as a valuable tutorial, providing examples that illustrate programming concepts in the context of practical computational problems. This book presents an overview of computational statistics with an introduction to the R computing environment. Reviewing basic concepts in probability and classical statistical inference, the text demonstrates every algorithm through fully implemented examples coded in R. Chapters cover topics such as Monte Carlo methods, clustering, bootstrap, nonparametric regression, density estimation, and goodness-of-fit. Many exercises are included for the students while a solutions manual is included for the instructor.
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Monografías 02. BIBLIOTECA CAMPUS PUERTO REAL
519.2/RIZ sta (Browse shelf(Opens below)) Texto completo Checked out 31/01/2024 3742076228
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Bibliografía: p. 375-393

Focusing on implementation rather than theory, "Statistical Computing with R" serves as a valuable tutorial, providing examples that illustrate programming concepts in the context of practical computational problems. This book presents an overview of computational statistics with an introduction to the R computing environment. Reviewing basic concepts in probability and classical statistical inference, the text demonstrates every algorithm through fully implemented examples coded in R. Chapters cover topics such as Monte Carlo methods, clustering, bootstrap, nonparametric regression, density estimation, and goodness-of-fit. Many exercises are included for the students while a solutions manual is included for the instructor.

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