Description
| Abstract: | This paper addresses the problem of influence in estimating the smoothing parameter when fitting a univariate smoothing spline. Diagnostics are presented that can identify observations that locally influence the choice of smoothing parameter by generalized cross-validation, through their case weights or observed responses. Generalized cross-validation and the diagnostic methods are given a frequency interpretation and illustrated with examples. |
| Item Description: | Funding information taken from leaf 10. |
| Physical Description: | 11 leaves, 9 unnumbered leaves : illustrations ; 28 cm |
| Bibliography: | Includes bibliographical references (leaves 10-11). |