In this article, the maximum likelihood estimation method is used to estimate the unknown parameters of the exponentiated Pareto distribution based on ranked set sampling (RSS), median Ranked set sampling (MRSS) and simple random sample (SRS). Comparison between estimators of these techniques is made Through simulation study using some criteria: biases, mean square errors and the relative efficiency. At the same sample size, the study concluded that the estimators based on RSS and MRSS are more efficient than those obtained by the SRS.
In this article, the maximum likelihood estimation method is used to estimate the unknown parameters of the exponentiated Pareto distribution based on ranked set sampling (RSS), median Ranked set sampling (MRSS) and simple random sample (SRS). Comparison between estimators of these techniques is made Through simulation study using some criteria: biases, mean square errors and the relative efficiency. At the same sample size, the study concluded that the estimators based on RSS and MRSS are more efficient than those obtained by the SRS.
Abu Zaid, Nasr Ibrahim Rashwan Nasr, & Tawfic, Maha. (2022). Estimation of parameters of the exponentiated Pareto distribution using ranked set sampling. التجارة والتمويل, 42(2), 130-148. doi: 10.21608/caf.2022.246327
MLA
Nasr Ibrahim Rashwan Nasr Abu Zaid; Maha Tawfic. "Estimation of parameters of the exponentiated Pareto distribution using ranked set sampling". التجارة والتمويل, 42, 2, 2022, 130-148. doi: 10.21608/caf.2022.246327
HARVARD
Abu Zaid, Nasr Ibrahim Rashwan Nasr, Tawfic, Maha. (2022). 'Estimation of parameters of the exponentiated Pareto distribution using ranked set sampling', التجارة والتمويل, 42(2), pp. 130-148. doi: 10.21608/caf.2022.246327
VANCOUVER
Abu Zaid, Nasr Ibrahim Rashwan Nasr, Tawfic, Maha. Estimation of parameters of the exponentiated Pareto distribution using ranked set sampling. التجارة والتمويل, 2022; 42(2): 130-148. doi: 10.21608/caf.2022.246327
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