Nonparametric statistical methods / Myles Hollander, Douglas A. Wolfe, Eric Chicken.

Por:

Hollander, Myles [autor.]

Colaborador(es):

Tipo de material: Texto

TextoEditor: Hoboken, New Jersey : John Wiley & Sons, 2014Edición: Tercera ediciónDescripción: xiii, 819 páginas : ilustracionesISBN:

9780470387375

Tema(s):

Formatos físicos adicionales: Online version:: Nonparametric statistical methods.Clasificación CDD:

519.5 23

Resumen: "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.Resumen: "In this third edition we have improved the eleven chapters of the second edition and added five new chapters. Also organized all of the R programs used in this third edition into a documented collection that is formally registered as an R package specifically linked to this third edition. "-- Provided by publisher.

Existencias ( 1 )
Notas de título ( 4 )

Existencias
Tipo de ítem	Biblioteca actual	Colección	Signatura topográfica	Estado	Fecha de vencimiento	Código de barras	Reserva de ítems
Libros	Ciencias General	General	519.5 H737n 2014	Disponible		00421175

Total de reservas: 0

Incluye índice.

Bibliografía: páginas 763-790.

"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.

"In this third edition we have improved the eleven chapters of the second edition and added five new chapters. Also organized all of the R programs used in this third edition into a documented collection that is formally registered as an R package specifically linked to this third edition. "-- Provided by publisher.