期刊名称:Journal of Theoretical and Applied Information Technology
印刷版ISSN:1992-8645
电子版ISSN:1817-3195
出版年度:2012
卷号:42
期号:1
页码:070-074
出版社:Journal of Theoretical and Applied
摘要:In this paper, we deal with the problem related to the prediction of a residual quadratic form of a super-population model in the case of a finite population. We propose a new optimal quadratic predictor of this quadratic form for a linear Gaussian model . The main result of this paper is used to derive an optimal quadratic predictor of the residual sum of squares of a linear Gaussian model.