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Variable deletion conficence regions and bootstrapping in linear regression
Autor(es):
Velilla Cerdan, Santiago
Editor:
Universidad Carlos III de Madrid. Departamento de Estadística
Fecha de edición:
1999-10
Serie/Num.:
UC3M Working Papers. Statistics and Econometrics
99-72-25
99-72-25
Palabras clave:
Least squeres estimation
,
mallows distance
,
model selection
,
resampling
Derechos:
Atribución-NoComercial-SinDerivadas 3.0 España
Resumen:
A resampling method is introduced to approximate, when some of the predictors are deleted, the quantiles of the distribution of the usual least squares pivots in linear regression. The approximation is used to construct confidence regions for the parameters of
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Variable deletion conficence regions and bootstrapping in linear regression
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