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  • 标题:Monte Carlo comparison of estimation methods for the two-parameter lognormal distribution
  • 本地全文:下载
  • 作者:Ivana Pobočíková ; Zuzana Sedliačková ; Mária Michalková
  • 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
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