@techreport{oai:kyutech.repo.nii.ac.jp:00000473,
 author = {Komori, Yoshio and 小守, 良雄 and Hirose, Hideo and 廣瀬, 英雄},
 month = {Jun},
 note = {A new computing method is proposed for the primary relative maximum of thelikelihood function in the three parameter lognormal distribution  In the methodthe distribution is transformed to the extended lognormal distribution  and thethree parameter estimation problems for the extended distribution are changed totwo parameter estimation problems  which demand to maximize an object functionof the two parameters  Since the function goes to +∞  only if both parameterssimultaneously go to +∞ or -∞  the two parameter estimation problems can beexpected to avoid computational di culties caused by the non regularity of the like lihood function in the lognormal distribution  In addition  since the employment ofgraphical tools makes it possible to easily  nd proper initial guesses given to iterativemethods in the two parameter problem  the combination of the reparameterizationand graphical tools is a simple but highly e ective method to cope with cases wherethe selection of the initial guess is di cult  In the present article  furthermore the analysis of the object function is given  and the properties of the estimator areinvestigated in simulations  Some examples are given for illustration, [Remark] Most of the material in this report has been superseded by the following paper: Y. Komori and H. Hirose (2004), Easy estimation by a new parameterization for the three-parameter lognormal distribution, J. Statistical Computation and Simulation, 74(1), 63-74.},
 title = {Easy Estimation by a New Parameterization in the Three-Parameter Lognormal Distribution},
 year = {2001},
 yomi = {コモリ, ヨシオ and ヒロセ, ヒデオ}
}