{"created":"2023-05-15T11:55:21.008776+00:00","id":238,"links":{},"metadata":{"_buckets":{"deposit":"a151f054-a3d0-43bc-b1c3-093811d81547"},"_deposit":{"created_by":3,"id":"238","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"238"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00000238","sets":["8:9"]},"author_link":["3142","879"],"item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2004-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"74","bibliographicPageStart":"63","bibliographicVolumeNumber":"74","bibliographic_titles":[{"bibliographic_title":"Journal of Statistical Computation and Simulation"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"A new parameterization and algorithm are proposed for seeking the primary relativemaximum of the likelihood function in the three-parameter lognormal distribution. Theparameterization yields the dimension reduction of the three-parameter estimation problemto a two-parameter estimation problem on the basis of an extended lognormal distribution.The algorithm provides the way of seeking the profile of an object function in the twoparameterestimation problem. It is simple and numerically stable because it is constructedon the basis of the bisection method. The profile clearly and easily shows whether a primaryrelative maximum exists or not, and also gives a primary relative maximum certainly if itexists.","subitem_description_type":"Abstract"}]},"item_21_description_60":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Journal 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