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Статистическая оценка весового коэффициента в комбинированной модели регрессии

Статистическая оценка весового коэффициента в комбинированной модели регрессии

Abstract

Представлены варианты статистической оценки весового коэффициента в комбинированной модели регрессии, использующей оценки построенных моделей - параметрической и непараметрической (в задачах регрессии или дискриминации). Вариант модифицированной статистической оценки весового коэффициента позволяет получать оценки регрессии в заданной точке, близкие к оптимальным по критерию минимума среднеквадратического отклонения. Результаты статистического моделирования на выборках конечного объема показывают, что комбинированная оценка регрессии со статистической оценкой весового коэффициента предпочтительнее, чем каждая из оценок построенных моделей.

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Keywords

статистическая оценка, непараметрическая регрессия, весовые коэффициенты, статистическое моделирование, комбинированная оценка

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green