JaLCDOI 10.18926/fest/52227
タイトル(別表記) Numerical Evaluation of the Approximation by an Influence Function
フルテキストURL fest_019_001_007.pdf
著者 包 紅梅| 笛田 薫|
抄録 For evaluating statistical models one of the most effective criteria is cross-validation. But it requires a large amount of computation. Various alternative schemes are considered to reduce its computation. Modified generalized information criterion is one of those alternative schemes. In this criterion an influence function is used to estimate the parameters of the models. By the numerical simulation we studied the effect of an influence function.  Surveying data of the lake depth are used as the sample data. We estimate the shape of lake bottom as spline surface. The estimated parameters and the estimated depths obtained by two criteria are compared and the effect of an information function is analysed.
キーワード influence function information criteria CV mGIC B-spline
出版物タイトル 岡山大学環境理工学部研究報告
発行日 2014-03
開始ページ 1
終了ページ 7
ISSN 2187-6940
言語 English
論文のバージョン publisher
NAID 120005394642