A generalized least-squares model |
| |
Authors: | Helmut Moritz |
| |
Institution: | (1) Technical University, Berlin |
| |
Abstract: | Summary A interpolation method is given for the case in which a function consisting of a systematic and a random part is to be estimated
from measurements affected by errors. This is a combined problem of parameter estimation, filtering and prediction, which
has applications in different fields of geodesy and gravimetry. The solution of the problem is derived from a least-squares
principle; it is formally very similar to a general case of least-squares adjustment.
Address: Hardenbergstr. 34, 1 Berlin 12. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|