?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=PERBANDINGAN+METODE+MVE-BOOTSTRAP+DAN+MCD-BOOTSTRAP+DALAM+MENGATASI+PENGARUH+PENCILAN%0D%0APADA+DATA+BERUKURAN+KECIL%0D%0ADALAM+ANALISIS+REGRESI+LINEAR+BERGANDA&rft.creator=ARIO+PANDU%2C+1517031011&rft.subject=QA+Mathematics&rft.description=In+the+regression+analysis%2C+the+best+linear+unbiased+estimator+method+used+for+parameter+estimation+is+Ordinary+Least+Square+(OLS).+But+it+is+very+sensitive+to+outliers%2C+so+when+there+are+outliers+in+the+observation+data%2C+OLS+becomes+biased+and+inefficient+to+estimate+the+regression+parameters.+To+overcome+this+problem%2C+the+method+that+can+be+used+is+a+robust+method.+The+Minimum+Ellipsoid+Volume+(MVE)+and+Minimum+Covariance+Determinant+(MCD)+method+are+two+robust+methods+that+are+known+to+have+high+rigidity+to+outliers.+But+the+accuracy+of+MVE+and+MCD+is+doubtful+when+applied+to+small+size+data.+Therefore%2C+it+is+necessary+to+apply+the+bootstrap%2Fresampling+method+to+both+methods+to+obtain+better+estimation+results.+The+purpose+of+this+study+is+to+compare+the+effectiveness+of+the+MVE-Bootstrap+and+MCD-Bootstrap+methods+to+overcome+the+effect+of+outliers+on+small+size+data+in+multiple+linear+regression+analysis.+The+effectiveness+of+each+method+can+be+known+based+on+the+value+of+the+estimator+relative+efficiency%2C+bias%2C+and+Mean+Square+Error+(MSE)+of+the+parameters+estimate.+The+results+showed+that+MVE-Bootstrap+was+better+than+MCD-Bootstrap+in+estimating+regression+parameters+on+containing+outliers+and+small+size+data.%0D%0AKeywords%3A+MCD-Bootstrap%2C+MVE-Bootstrap%2C+OLS%2C+Outlier%2C+Robust%0D%0A%0D%0A%0D%0ADalam+analisis+regresi%2C+metode+penduga+tak+bias+terbaik+yang+digunakan+untuk+pendugaan+parameter+adalah+Metode+Kuadrat+Terkecil+(MKT).+Namun%2C+ketika+terdapat+pencilan+pada+data+pengamatan%2C+MKT+menjadi+bias+dan+tidak+efisien+dalam+menduga+parameter+regresi.+Hal+ini+dikarenakan+MKT+sangat+sensitif+terhadap+pencilan.+Untuk+mengatasi+masalah+tersebut%2C+metode+yang+dapat+digunakan+adalah+metode+robust.+Metode+Minimum+Volume+Ellipsoid+(MVE)+dan+Minimum+Covariance+Determinant+(MCD)+merupakan+dua+metode+robust+yang+dikenal+memiliki+ketegaran+yang+tinggi+terhadap+pencilan.+Tetapi%2C+penggunaan+MVE+dan+MCD+diragukan+apabila+dihadapkan+pada+data+yang+berukuran+kecil.+Oleh+sebab+itu%2C+perlu+penerapan+metode+bootstrap%2Fresampling+pada+kedua+metode+tersebut+agar+diperoleh+hasil+pendugaan+yang+lebih+baik.+Tujuan+dari+penelitian+ini+adalah+membandingkan+efektivitas+metode+MVE-Bootstrap+dan+MCD-Bootstrap+untuk+mengatasi+pengaruh+pencilan+pada+data+yang+berukuran+kecil+dalam+analisis+regresi+linear+berganda.+Efektivitas+masing-masing+metode+dapat+diketahui+berdasarkan+nilai+efisiensi+relatif+penduga%2C+bias%2C+dan+Mean+Square+Error+(MSE)+dari+pendugaan+parameter+yang+dihasilkan.+Hasil+penelitian+menunjukkan+bahwa+MVE-Bootstrap+lebih+baik+dari+MCD-Bootstrap+dalam+menduga+parameter+regresi+pada+data+yang+mengandung+pencilan+dan+berukuran+kecil.%0D%0AKata+Kunci%3A+MCD-Bootstrap%2C+MVE-Bootstrap%2C+MKT%2C+Pencilan%2C+Robust%0D%0A&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2019-04-08&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F54504%2F1%2FABSTRAK-ABSTRACT.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F54504%2F3%2FSKRIPSI%2520FULL%2520TEKS.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F54504%2F2%2FSKRIPSI%2520FULL%2520TEKS%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++ARIO+PANDU%2C+1517031011++(2019)+PERBANDINGAN+METODE+MVE-BOOTSTRAP+DAN+MCD-BOOTSTRAP+DALAM+MENGATASI+PENGARUH+PENCILAN+PADA+DATA+BERUKURAN+KECIL+DALAM+ANALISIS+REGRESI+LINEAR+BERGANDA.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F54504%2F