The Poisson-Inverse Gaussian regression model is a widely used method for analyzing count data, particularly in over-dispersion. However, the reliability of parameter estimates obtained through ...
Classical regression type estimators in survey sampling often suffer from inefficiency and instability in the presence of outliers and model deviations. To address these issues, this study proposes a ...
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