|
Título:
|
Divergence-based confidence intervals in false-positive misclassification model
|
|
Autores:
|
Martín Apaolaza, Níriam ;
Morales González, Domingo ;
Pardo Llorente, Leandro
|
|
Tipo de documento:
|
texto impreso
|
|
Editorial:
|
Gordon & Breach, 2008-05-21
|
|
Palabras clave:
|
Estado = Publicado
,
Materia = Ciencias: Matemáticas: Estadística aplicada
,
Tipo = Artículo
|
|
Resumen:
|
In this article, we introduce minimum divergence estimators of parameters of a binary response model when data are subject to false-positive misclassification and obtained using a double-sampling plan. Under this set up, the problem of goodness-of-fit is considered and divergence-based confidence intervals (CIs) for a population proportion parameter are derived. A simulation experiment is carried out to compare the coverage probabilities of the new CIs. An application to real data is also given.
|
