文章基本信息

标题：Monte Carlo comparison of estimation methods for the two-parameter lognormal distribution
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作者：Ivana Pobočíková ; Zuzana Sedliačková ; Mária Michalková 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2019
卷号：254
DOI：10.1051/matecconf/201925408002
语种：English
出版社：EDP Sciences
摘要：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 experimentally obtained values of ultimate tensile strength of material.
关键词：enlognormal distributionmaximum likelihood methodmethod of momentsFinney methodMonte Carlo simulationultimate tensile strength