Probability of Misclassification Under Nelly Distribution Using Optimal Rule

Autor:	Nnabude Chinelo Ijeoma, S. I. Onyeagu, Dr. C. H. Nwankwo
Rok vydání:	2023
Předmět:	Errors of Misclassification Nelly Distribution Linear Discriminant Function Likelihood Ratio Rate Error Rate
DOI:	10.5281/zenodo.7985821
Popis:	Errors of misclassification and their probabilities are studied for classification problems associated with univariate Nelly distribution. The effect of applying the linear discriminant function (LDF) based on normality to Nelly populations are assessed by comparing probability (Optimum) based on the linear discriminant function (LDF) with those based on the likelihood ratio rule (LR) for the Nelly. Both theoretical and empirical results are presented
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1371650782f99fbb2cf2b435a49e03e8 Zobrazit plný text záznamu