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Биометрия Ч. 2

Биометрия Ч. 2

Abstract

Методические указания подготовлены в соответствии с типовой и учебной программами по курсу "Биометрия". Приводятся методики регрессионного, корреляционного, дисперсионного и многофакторного анализа биологических данных. Издание предназначено для студентов, обучающихся по биологическим специальностям, учителям биологии и экологии, а также лицам, занимающимся биологическими и экологическими исследования.

Сушко, Г. Г. Биометрия : метод. указания для проведения лаб. работ : в 2 ч. Ч. 2 / Г. Г. Сушко, И. А. Литвенкова ; М-во образования Республики Беларусь, Учреждение образования "Витебский государственный университет имени П. М. Машерова", Каф. экологии и охраны природы. - Витебск : ВГУ имени П. М. Машерова, 2019. - 46, [1] с. : ил., табл. - Библиогр.: с. 46.

Keywords

многофакторный анализ, биометрия, регрессионный анализ, биология, контрольные вопросы, лабораторные работы, PAST, биометрические методы, программное обеспечение, STATISTIKA, высшая школа, MS Excel, дисперсионный анализ, корреляционный анализ, учебные модули

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Powered by OpenAIRE graph
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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
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