TEST ZGODNOŚCI χ2 OPARTY NA PRÓBACH NIEPROSTYCH
χ2 GOODNESS OF FIT TEST IN NON-SIMPLE SAMPLING

Summary/Abstract: Classical theory of statistical inference provides methods of estimation of unknown population parameters, density estimation and statistical hypothesis testing, based on simple random sampling, that is sampling scheme, in which all individuals are stochastically independent and identically distributed. Problems with estimation, especially with adaptation of central limit theorem to non-simple sampling and verification of goodness of fit hypothesis with χ2 test will be subject of this article.

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