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@article{J.Gauss3666, author = {Pritha Wijayanti and Dwi Ispriyanti and Triastuti Wuryandari}, title = {PENGAMBILAN SAMPEL BERDASARKAN PERINGKAT PADA ANALISIS REGRESI LINIER SEDERHANA}, journal = {Jurnal Gaussian}, volume = {2}, number = {3}, year = {2013}, keywords = {Ranked Set Sampling, Ranked Set Sampling Concomitant, Relative Precision, Simple Linear Regression Analysis}, abstract = {Ranked Set Sampling and Ranked Set Sampling concomitant are more efficient than Simple Random Sampling. This can be determined by calculating the Relative Precision which is a ratio value from the variance of the mean from each sampling technique. From the research of Ranked Set Sampling, obtained , and so Ranked Set Sampling is more efficient than Simple Random Sampling. For the research of Ranked Set Sampling concomitant, obtained , and so Ranked Set Sampling concomitant is more efficient than Simple Random Sampling, and for simple linear regression analysis obtained , , , so simple linear regression model of Ranked Set Sampling is more efficient than simple linear regression model of Simple Random Sampling}, issn = {2339-2541}, pages = {209--218} doi = {10.14710/j.gauss.2.3.209-218}, url = {https://ejournal3.undip.ac.id/index.php/gaussian/article/view/3666} }
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