Enhancing efficiency of ratio-type estimators of population variance by a combination of information on robust location measures
Numerous ratio-type estimators of the population variance are proposed in the existing
literature based on different characteristics of the study as well as the auxiliary variable …
literature based on different characteristics of the study as well as the auxiliary variable …
Rescaled bootstrap confidence intervals for the population variance in the presence of outliers or spikes in the distribution of a variable of interest
PJ Moya Fernández, JF Muñoz Rosas… - 2023 - digibug.ugr.es
Confidence intervals for the population variance in the presence of outliers or spikes in the
distribution of a variable of interest are topics that have not been investigated in depth …
distribution of a variable of interest are topics that have not been investigated in depth …
Rescaled bootstrap confidence intervals for the population variance in the presence of outliers or spikes in the distribution of a variable of interest
Confidence intervals for the population variance in the presence of outliers or spikes in the
distribution of a variable of interest are topics that have not been investigated in depth …
distribution of a variable of interest are topics that have not been investigated in depth …
Generalized regression cum ratio estimators of population variance in two phase sampling
This study suggested the generalized regression cum ratio estimators for estimating the
population variance of the variable under study. The bias and mean squared error of the …
population variance of the variable under study. The bias and mean squared error of the …
An improved and robust class of variance estimator
The ratio, product, and regression estimators are commonly constructed based on the
conventional measures such as mean, median, quartiles, semi-interquartile range, semi …
conventional measures such as mean, median, quartiles, semi-interquartile range, semi …
[引用][C] Enhancing the efficiency of the ratio-type estimators of population variance with a blend of information on robust location measures
F Naza, M Abidb, T Nawazb, T Panga