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-parametric heteroscedastic regression, and fitted by a localized MM-estimator, combining high robustness and large efficiency. The proposed … method is shown to produce reliable forecasts in the presence of outliers, non-linearity, and heteroscedasticity. In the … absence of outliers, the forecasts are only slightly less precise than those based on a localized Least Squares estimator. An …
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Based on generalized order statistics from Weibull distribution the approach of Bayesian and non-Bayesian estimation are discussed. We present a simple and efficient simulational algorithm for generating a generalized order statistics sample from any continuous distribution. Specializations to...
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special cases. Some bounds for the mean of PCOS-II from dependent data are then established. Finally, through an example, a …
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