Configural Polysampling: A Route to Practical Robustness. Este artículo no está disponible.
Idioma: inglés
Editorial: Hoboken, New Jersey, U.S.A.: Wiley-Interscience, 1991
Serie: Libro 127 de 358 - Wiley Series in Probability and Statistics
- Primera edición
- Tapa dura
- Usado
Librería: Bingo Books 2, Vancouver, WA, Estados Unidos de AmericaBingo Books 2
Vendedor de 4 estrellas
Vendedor de IberLibro desde 7 de julio de 2011
No disponible
Tapa dura
Condición: Usado - Muy bueno
EUR 143,19
Descripción del artículo del vendedor
hardback book and dust jacket in near fine condition.
N° de ref. del artículo 126156
- Título
- Configural Polysampling: A Route to Practical Robustness
- Autor
- Morgenthaler, Stephan
- Editorial
- Hoboken, New Jersey, U.S.A.: Wiley-Interscience
- Año de publicación
- 1991
- Estado
- Near Fine
- Sobrecubierta
- Near Fine
- Encuadernación
- Hardcover
- Idioma
- inglés
- ISBN 10
- 0471523720
- ISBN 13
- 9780471523727
- Edición
- 1st Edition
- Serie
- Libro 127 de 358: Wiley Series in Probability and Statistics
- Catálogos de vendedores
- mathematics, Science, technical
This is an introduction to conditional thinking in a robustness setting. The types of parameters considered are location, scale and regression slopes. The book focuses on confrontations of a small number of suitably disparate shapes as well as invariance. Invariance and confrontations are described at length because they withold the impact of prejudice and outside information until the data has been summarized, and also allow the evaluation of performance to be separated into quadrature and sampling.
“Sinopsis” puede pertenecer a otra edición de este título.
Reseña del editor
This is an introduction to conditional thinking in a robustness setting. The types of parameters considered are location, scale and regression slopes. The book focuses on confrontations of a small number of suitably disparate shapes as well as invariance. Invariance and confrontations are described at length because they withold the impact of prejudice and outside information until the data has been summarized, and also allow the evaluation of performance to be separated into quadrature and sampling.
“Acerca de” puede pertenecer a otra edición de este título.