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МАЪЛУМОТЛАР ТАСОДИФИЙ ЙЎҚОЛГАН ЧИЗИҚЛИ РЕГРЕССИЯ: БООТСТРАП ЁНДАШУВИ

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MAQOLA ANNOTATSIYASI

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ОЛС регрессиялари нуқта ва интервалларни холис ва самарали баҳолаш учун бир қатор фаразларга эга. Тасодифий йўқолган маълумотлар (МНАР) чизиқли регрессияни баҳолашда жиддий муаммоларни келтириб чиқариши мумкин. Ушбу тадққотда биз МНАР маълумотлари билан ОЛС ишонч оралиғи баҳоларининг ишлашини баҳолаймиз. Биз, шунингдек, бундай маълумотлар ҳолатлари учун восита сифатида юклашни таклиф қиламиз ва анъанавий ишонч оралиқларини боотстрап билан солиштирамиз. Ҳақиқий параметрларни билишимиз кераклиги сабабли, биз симуляция тадқиқотини ўтказамиз. Тадқиқот натижалари шуни кўрсатадики, иккала ёндашув ҳам ўхшаш оралиқ ўлчамига эга ўхшаш натижаларни кўрсатади. Боотстрап жуда кўп ҳисобкитобларни талаб қилишини ҳисобга олиб, анъанавий усулларни МНАР ҳолатида ҳам қўллаш тавсия этилади.

MUALIFLAR

Teglar

# accuracy# точность# аниқлик# confidence interval# доверительный интервал# sample size# чизиқли модел# бутстрап# линейная модель# bootstrap# намуна ўлчами# ишонч интервал# юклаш чизиғи# интервал ўлчами# тасодифий эмас# размер выборки# размер интервала# отсутствие не случайно# linear model# interval size# missing not at random

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