摘要：Research in effect analyzing data leads to observations, according to which some values strongly exceed the others. It may cause estimation inefficiency or mistakes in descriptive statistics results. Hence, the use and development of outlier identification methods, which are a part of robust statistics, should be considered necessary. The aim of the article is to define selected outlier identification methods and present the results of using them in the wood-based sector competitiveness potential research.
