Monte Carlo comparison of estimation methods for the two-parameter lognormal distribution

In the paper we compare performance of estimation methods for the two-parameter lognormal distribution via the Monte Carlo simulation. The comparison of performances is made with respect to their biases, variances, root mean square error. The methods are applied on real data set representing experim...

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Bibliographic Details
Main Authors: Pobočíková Ivana, Sedliačková Zuzana, Michalková Mária, Kuchariková Lenka
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:MATEC Web of Conferences
Subjects:
Online Access:https://doi.org/10.1051/matecconf/201925408002