A new sampling strategy to reduce the effect of autocorrelation on a control chart
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Data
2014-07-03
Autores
Franco, Bruno Chaves [UNESP]
Castagliola, Philippe
Celano, Giovanni
Branco Costa, Antonio Fernando [UNESP]
Título da Revista
ISSN da Revista
Título de Volume
Editor
Taylor & Francis Ltd
Resumo
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.
Descrição
Palavras-chave
inclusion probability, auxiliary information, variance, low income proportion, quantile
Como citar
Journal of Applied Statistics. Abingdon: Taylor & Francis Ltd, v. 41, n. 7, p. 1408-1421, 2014.