|
| << vorige | volgende >> |
Tijdschrift beschrijving
Alle jaargangen van het bijbehorende tijdschrift
Alle afleveringen van het bijbehorende jaargang
Alle artikelen van de bijbehorende aflevering
Details van artikel 20 van 26 gevonden artikelen
| Titel: |
Lime: the least integrated mean-squared-error estimator for the maximum point of the single-factor quadratic response function |
| Auteur: |
Wang, H. S. Karson, M. J. |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 20 (1991) nr. 1 pagina's 41-71 |
| Jaar: |
1991 |
| Inhoud: |
The search for a maximum of a response function is of great concern to experimenters in various disciplines. The ordinate and coordinate of the maximum are usually estimated through finding the local stationary point of the estimated response function regressed through the ordinary least squares procedure.However, despite the fact that the OLSEs are the best linear unbiased estimators (BLUE) for the polynomial coefficients, it is well known that those for the ordinate and coordinate are not BLUE.In search of an estimator which might perform better than OLSE, we present in this paper a linear estimator called LIME which minimizes an integrated mean-squared-error. Based on the statistical properties established for both OLSE and LIME, their relative performances are compared by both numerical evaluation and simulation |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 20 van 26 gevonden artikelen
| << vorige | volgende >> |