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Multifactor modeling and analysis of repeated observations of biological objects //Moscow university computational mathematics cybernaticsстатья
Дата последнего поиска статьи во внешних источниках: 3 ноября 2021 г.
- Авторы: Belov A.G., Polienko A.E., Belova O.A.
- Журнал: Moscow University Computational Mathematics and Cybernetics
- Том: 45
- Номер: 2
- Год издания: 2021
- Издательство: Allerton Press Inc.
- Местоположение издательства: United States
- Первая страница: 45
- Последняя страница: 52
- DOI: 10.3103/S0278641921020011
- Аннотация: A multifactor model of the behavior of a population of biological objects is described.The model considers the structure of repeated observations and does not assume there are classicalrequirements for the independence of observations, their normality, or correlation homogeneity.Hypotheses about there being no influence of intergroup and intragroup factors on measured characteristics of biological objects are formulated, and modern statistical criteria for testing hypotheseswith no classical assumptions and different sample sizes are described. Results from theoreticalstudies are used to create a program module for the statistical processing of experimental data instudying the behavior of a population of biological objects that depend on several factors. a threefactor model of their behavior is constructed on the basis of real experimental data on the behavior ofa population of Ixodidae ticks,depending on their habitat,ambient temperature, and time of day.
- Добавил в систему: Белов Андрей Григорьевич
Прикрепленные файлы
| № | Имя | Описание | Имя файла | Размер | Добавлен |
|---|---|---|---|---|---|
| 1. | Полный текст | статья | CMatCMGU2102001BelovKOR.pdf | 136,8 КБ | 10 июня 2021 [Belov] |
| 2. | Полный текст | CMCM45_angl._versiya.pdf | 509,2 КБ | 10 июля 2021 [Belov] |