Quality Control of DFHRS Database Computation
In both cases - the geometrical approach implemented in the DFHRS software version 4.2, as
well as the integrated geometrical–physical approach implemented in the DFHRS software
version 5.0 - the functional models (2a-f) and ((4d)-(6)) respectively, mean
and over-determined system of equations with respect to the parameters, and require
parameter-estimations for redundant equation systems. The DFHRS software version 4.3 and
version 5.0 solve the respective parameter estimation by a least squares adjustment
(also called L2-norm estimation). The L2-norm is optimal - in the sense of a
Maximum-Likelihood parameter estimation (M-estimation) – in the case of assumed
multivariate normal distributed errors v. Generally any other M-estimation, such
as e.g. the robust L1-Norm (M-optimal for multivariate Laplace distributed errors v),
can be applied as well. Based on any M-estimation the quality control and the quality
indicators, can be set up in the following way:
-
Statistical tests for all single observations, the so-called data-snooping.
-
“Reproduction values” ∇H for the fitting-points (B,L,h|H). The reproduction values
∇H give the fictive changes of the resulting local heights H - computed as
H = h – N(p|B,L,h) from of the DFHRS-database – for the case, that the respective
fitting point (B,L,h|H) would not have taken part in the DFHRS_DB computation.
-
Variance component estimations for all different observation groups, and the
-
Computation of the covariance matrix Cp of the parameters. From Cp
the variances of any function f(p) of the above polynomial parameters
p and the SCHA parameters (Cnm’,Snm’), respectively
can be computed. A characteristic function is the so-called “accuracy surface”
of the HRS, the Geoid N or quasi-geoid NQG. The accuracy surface
represents the position-dependent standard deviation of σN(B,L,h)
over a country. Fig. 4 shows the accuracy surface for the geoid N in the district
area of Windhuk, Namibia.
Fig.4. Accuracy surface σ
N(B,L,h) for the < 3 cm DFHRS data-base
(geoid N) of Windhuk, Namibia.
Concept