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CyberLeninka - Russian open access scientific library
Article . 2013
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Статистическое моделирование демографических показателей здоровья населения региона

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2013 Russian Publisher:Общество с ограниченной ответственностью «Центр развития научного сотрудничества»Journal:Актуальные вопросы экономических наук

Статистическое моделирование демографических показателей здоровья населения региона

Abstract

Рассматриваются группы факторов, влияющих на демографические показатели здоровья в регионе России. С помощью метода главных компонент строятся латентные показатели и оценивается степень их достоверности. Строятся регрессионные модели и определяется их значимость.

Keywords

ПОКАЗАТЕЛИ ЗДОРОВЬЯ НАСЕЛЕНИЯ,ФАКТОРЫ ВЛИЯНИЯ,МЕТОД ГЛАВНЫХ КОМПОНЕНТ,ЛАТЕНТНЫЙ ПОКАЗАТЕЛЬ,КЛАСТЕР,РЕГРЕССИОННАЯ МОДЕЛЬ,ЗНАЧИМОСТЬ

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    popularity
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    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