?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=PENDUGAAN+PARAMETER+PROPORSI+AREA+KECIL%0D%0ABERDASARKAN+GENERALIZED+LINEAR+MIXED+MODEL&rft.creator=NINA+DAMAYANTI%2C++1317031058&rft.subject=Q+Science+(General)&rft.subject=QA+Mathematics&rft.description=Pendugaan+secara+langsung+pada+area+kecil+dapat+menghasilkan+keragaman+yang%0D%0Abesar+karena+informasi+yang+diperoleh+sangat+sedikit+atau+bahkan+tidak+terdapat%0D%0Ainformasi+sama+sekali+mengenai+karakteristik+populasi+yang+akan+diamati.%0D%0AAlternatif+metode+lain+yang+dapat+digunakan+yaitu+melalui+pendugaan+tidak%0D%0Alangsung+dengan+menghubungkan+area+kecil+tersebut+dengan+area+lain+melalui%0D%0Amodel+yang+sesuai+dengan+tujuan+penelitian+yang+dilakukan.+Terdapat+beberapa%0D%0Ametode+pendugaan+pada+area+kecil%2C+diantaranya+Empirical+Bayes+(EB)%2C%0D%0AHirarchical+Bayes+(HB)+dan+Best+Linear+Unbiassed+Predictor+(BLUP).+Pada%0D%0Apenelitian+ini+dilakukan+pendugaan+parameter+proporsi+area+kecil+menggunakan%0D%0Ametode+BLUP+dengan+menghubungkan+salah+satu+model+dasar+area+kecil+yaitu%0D%0ABasic+Area+Level+(type+A)+Model+dengan+Generalized+Linear+Mixed+Model%0D%0A(GLMM).+Sebelum+menduga+parameter+proporsi+dari+model+area+kecil%2C+terlebih%0D%0Adahulu+dilakukan+pendugaan+terhadap+parameter+dari+GLMM+dengan+Generalized%0D%0ALeast+Square+(GLS).+Kajian+empirik+dilakukan+terhadap+proporsi+keluarga%0D%0Aprasejahtera+di+Kota+Bandar+Lampung+dengan+bantuan+software+R.%0D%0AKata+Kunci+%3A+Pendugaan+Area+Kecil%2C+Best+Linear+Unbiassed+Predictor+(BLUP)%2C%0D%0AGeneralized+Linear+Mixed+Model+(GLMM)+dan+Generalized+Least%0D%0ASquare+(GLS).%0D%0A%0D%0A%0D%0AABSTRACT%0D%0A%0D%0A%0D%0ADirect+estimation+of+small+area+can+result+in+great+because+the+information%0D%0Aobtained+has+little+or+no+information+about+the+characteristics+of+the+population+to%0D%0Abe+observed.+Another+alternative+method+can+be+used+is+through+indirect%0D%0Aestimation+by+connecting+the+small+area+with+other+areas+through+the+model+in%0D%0Aaccordance+with+the+purpose+of+research+conducted.+There+are+several+method+of%0D%0Asmall+area%2C+including+Empirical+Bayes+(EB)%2C+Hirarchical+Bayes+(HB)+and+Best%0D%0ALinear+Unbiassed+Predictor+(BLUP).+In+this+research%2C+the+parameter+of+proportion%0D%0Aof+small+area+using+BLUP+method+is+done+by+connecting+one+of+the+basic+model+of%0D%0Asmall+area%2C+namely+Basic+Area+Level+(type+A)+Model+with+Generalized+Linear%0D%0AMixed+Model+(GLMM).+Before+estimating+the+proportion+parameters+of+the+small%0D%0Aarea+model%2C+we+first+estimated+the+parameters+of+GLMM+with+Generalized+Least%0D%0ASquare+(GLS).+Empirical+study+was+conducted+on+the+proportion+of+underprosperous%0D%0Afamily+in+Bandar+Lampung+with+the+help+of+software+R.%0D%0AKeyword+%3A+Small+Area+Estimation%2C+Best+Linear+Unbiassed+Predictor+(BLUP)%2C%0D%0AGeneralized+Linear+Mixed+Model+(GLMM)+and+Generalized+Least%0D%0ASquare+(GLS).&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2017-11-10&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F29605%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F29605%2F15%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F29605%2F16%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++NINA+DAMAYANTI%2C+1317031058++(2017)+PENDUGAAN+PARAMETER+PROPORSI+AREA+KECIL+BERDASARKAN+GENERALIZED+LINEAR+MIXED+MODEL.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F29605%2F