Abstract

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 classical requirements 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 hypotheses with no classical assumptions and different sample sizes are described. Results from theoretical studies are used to create a program module for the statistical processing of experimental data in studying the behavior of a population of biological objects that depend on several factors. A three-factor model of their behavior is constructed on the basis of real experimental data on the behavior of a population of Ixodidae ticks,depending on their habitat,ambient temperature, and time of day.

中文翻译：

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生物对象重复观测的多因素建模与分析

摘要

描述了生物对象群体行为的多因素模型。该模型考虑了重复观测的结构，并不假设对观测的独立性、正态性或相关同质性存在经典要求。假设群内和群内因素对生物对象的测量特征没有影响，并描述了现代统计标准，用于检验没有经典假设和不同样本量的假设。理论研究的结果用于创建一个程序模块，用于在研究依赖于几个因素的生物对象群体的行为时对实验数据进行统计处理。