Chi-Squared Goodness-of-fit Test for the Family of Logistic Distributions
Neige Aguirre and Mikhail Nikulin
Chi-squared goodness-of-fit test for the family of logistic distributions is proposed. Different methods of estimation of the unknown parameters $\theta$ of the family are compared. The problem of homogeneity is considered.
@article{kyb:1994:3:214-222,
author = {Aguirre, Neige and Nikulin, Mikhail},
title = {Chi-Squared Goodness-of-fit Test for the Family of Logistic Distributions},
journal = {Kybernetika},
volume = {30},
year = {1994},
number = {3},
pages = {214-222}
publisher = {{\'U}TIA, AV {\v C}R, Prague },
}
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