A new sampling strategy to reduce the effect of autocorrelation on a control chart
Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
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Data(s) |
03/12/2014
03/12/2014
03/07/2014
|
Resumo |
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) The ratio method is commonly used to the estimation of means and totals. This method was extended to the problem of estimating the distribution function. An alternative ratio estimator of the distribution function is defined. A result that compares the variances of the aforementioned ratio estimators is used to define optimum design-based ratio estimators of the distribution function. Different empirical results indicate that the optimum ratio estimators can be more efficient than alternative ratio estimators. In addition, we show by simulations that alternative ratio estimators can have large biases, whereas biases of the optimum ratio estimators are negligible in this situation. |
Formato |
1408-1421 |
Identificador |
http://www.tandfonline.com/doi/abs/10.1080/02664763.2013.871507 Journal of Applied Statistics. Abingdon: Taylor & Francis Ltd, v. 41, n. 7, p. 1408-1421, 2014. 0266-4763 http://hdl.handle.net/11449/113605 WOS:000335854800002 |
Idioma(s) |
eng |
Publicador |
Taylor & Francis Ltd |
Relação |
Journal of Applied Statistics |
Direitos |
closedAccess |
Palavras-Chave | #inclusion probability #auxiliary information #variance #low income proportion #quantile |
Tipo |
info:eu-repo/semantics/article |