JaLCDOI 10.18926/fest/52227
Title Alternative Numerical Evaluation of the Approximation by an Influence Function
FullText URL fest_019_001_007.pdf
Author Bao, Hong Mei| Fueda, Kaoru|
Abstract 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.
Keywords influence function information criteria CV mGIC B-spline
Publication Title 岡山大学環境理工学部研究報告
Published Date 2014-03
Volume volume19
Issue issue1
Start Page 1
End Page 7
ISSN 2187-6940
language 英語
File Version publisher
NAID 120005394642