@techreport{oai:kyutech.repo.nii.ac.jp:00004112,
 author = {Hirose, Hideo and 廣瀬, 英雄 and Komori, Yoshio and 小守, 良雄},
 month = {},
 note = {To an extremely difficult problem of finding the maximum likelihood estimates in a specific mixture regression model, a combination of several optimization techniques is found to be useful. These algorithms are the continuation method, Newton-Raphson method, and simplex method. The simplex method finds a globally approximate solution, then a combination of the continuation method and the Newton-Raphson method finds a more accurate solution. In this paper, this combination method is applied to find the maximum likelihood estimates in a Weibull-power-law type regression model, as well as the well-known methods like the EM algorithm, is discussed in this paper.},
 title = {Maximum likelihood estimation in a mixture regression model using the EM algorithm},
 year = {2002},
 yomi = {ヒロセ, ヒデオ and コモリ, ヨシオ}
}