A new sampling strategy to reduce the effect of autocorrelation on a control chart


Autoria(s): Franco, Bruno Chaves; Castagliola, Philippe; Celano, Giovanni; Branco Costa, Antonio Fernando
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

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