<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "PERBANDINGAN METODE ROBUST ESTIMASI-LTS DENGAN\r\nESTIMASI-S UNTUK DATA YANG MENGANDUNG PENCILAN\r\n(OUTLIER)"^^ . "Linear regression analysis is a technique in statistics that is used to form a\r\nmodel of relationship between the dependent variable with one or more\r\nindependent variables. The method used to estimate the parameters in the\r\nregression analysis is Ordinary Least Square. Often the result obtained from this\r\nmethod is less precise to model the data contains outlier. One of the methods used\r\nwhen data contains outlier is by LTS-estimation robust regression method and Sestimation.\r\nLTS-estimation is robust estimate that uses the concept of trimming\r\ndata distribution to minimize the least squares quantities to get the best regression\r\nmodel. Meanwhile, the S-estimation is an estimate that has a high breakdown\r\npoint value of up to 50%, so the S-estimate can overcome half of the outliers and\r\ngive a good effect on the resulting model.\r\nThis study aims to compare the effectiveness of Ordinary Least Square\r\nMethods, LTS-estimation and Welsch-weighted S-estimation in forming\r\nregression models. Comparison of these methods is judged by the standard error\r\nand Adjusted R-Square. The case in this study was taken from West Java\r\nProvincial BPS on cassava production , harvested area , average rainfall\r\n, and productivity based on district and city in East Java Province 2014.\r\nResults of the study of 26 districts and cities, LTS-estimation resulted in a\r\nbetter model than the S-estimation and Ordinary Least Square Method. This is\r\nseen from the result of standard error of LTS-estimation, S-estimation, and OLS\r\nare 46.069, 546.2739, 19030 and Adjusted R-Square respectively 0.9999, 0.996,\r\n0.9840."^^ . "2018-04-24" . . . . "UIN SUNAN KALIJAGA YOGYAKARTA"^^ . . . "FAKULTAS SAINS DAN TEKNOLOGI, UIN SUNAN KALIJAGA YOGYAKARTA"^^ . . . . . . . . . "NIM. 14610042"^^ . "MUCH ARIF ABDULLAH"^^ . "NIM. 14610042 MUCH ARIF ABDULLAH"^^ . . . . . . "PERBANDINGAN METODE ROBUST ESTIMASI-LTS DENGAN\r\nESTIMASI-S UNTUK DATA YANG MENGANDUNG PENCILAN\r\n(OUTLIER) (Text)"^^ . . . . . "PERBANDINGAN METODE ROBUST ESTIMASI-LTS DENGAN\r\nESTIMASI-S UNTUK DATA YANG MENGANDUNG PENCILAN\r\n(OUTLIER) (Text)"^^ . . . . . "PERBANDINGAN METODE ROBUST ESTIMASI-LTS DENGAN\r\nESTIMASI-S UNTUK DATA YANG MENGANDUNG PENCILAN\r\n(OUTLIER) (Other)"^^ . . . . . . "PERBANDINGAN METODE ROBUST ESTIMASI-LTS DENGAN\r\nESTIMASI-S UNTUK DATA YANG MENGANDUNG PENCILAN\r\n(OUTLIER) (Other)"^^ . . . . . . "PERBANDINGAN METODE ROBUST ESTIMASI-LTS DENGAN\r\nESTIMASI-S UNTUK DATA YANG MENGANDUNG PENCILAN\r\n(OUTLIER) (Other)"^^ . . . . . . "PERBANDINGAN METODE ROBUST ESTIMASI-LTS DENGAN\r\nESTIMASI-S UNTUK DATA YANG MENGANDUNG PENCILAN\r\n(OUTLIER) (Other)"^^ . . . . . . "PERBANDINGAN METODE ROBUST ESTIMASI-LTS DENGAN\r\nESTIMASI-S UNTUK DATA YANG MENGANDUNG PENCILAN\r\n(OUTLIER) (Other)"^^ . . . . . . "PERBANDINGAN METODE ROBUST ESTIMASI-LTS DENGAN\r\nESTIMASI-S UNTUK DATA YANG MENGANDUNG PENCILAN\r\n(OUTLIER) (Other)"^^ . . . . . . "PERBANDINGAN METODE ROBUST ESTIMASI-LTS DENGAN\r\nESTIMASI-S UNTUK DATA YANG MENGANDUNG PENCILAN\r\n(OUTLIER) (Other)"^^ . . . . . . "PERBANDINGAN METODE ROBUST ESTIMASI-LTS DENGAN\r\nESTIMASI-S UNTUK DATA YANG MENGANDUNG PENCILAN\r\n(OUTLIER) (Other)"^^ . . . . . "HTML Summary of #32176 \n\nPERBANDINGAN METODE ROBUST ESTIMASI-LTS DENGAN \nESTIMASI-S UNTUK DATA YANG MENGANDUNG PENCILAN \n(OUTLIER)\n\n" . "text/html" . . . "Matematika"@id . .