Figure 2 The effect of initial statement estimation errors on target tracking.(a) Tracking results with the initial statement obtained viaGauss Newton method.
The statement estimation results are shown inFigure 2.
Table 2 shows the initial statement estimation errors ofclassical method and the proposed method under the condition of different targetmeasured parameters estimation accuracy.
Interval estimation incorporates a probability statement about the magnitude of the sampling error.
At least for our second source of ascertainment bias, simulated data allowed to confirm this statement since estimation of x was found robust to departure from the prior distribution assumed.
This leads to the following statement: Figure 1 Estimation error variance σ 2 for different UFIR structures (Example 2).
This impression is reinforced by their statement that their estimation procedure in a few cases for early years of dieselization produced higher REC exposures outside than inside the mine (which caused them to adjust their estimates).
The preference statements from the pairwise estimation of the relative importance of each criterion in relation to objective 2 and the associated weightings are presented in Table 5 and Table 6, respectively.
A bootstrapping strategy in the abundance estimation step allows us to obtain confidence statements for all estimates, and thereby the definition of cutoffs for diagnostic decisions can be supported by statistical statements.
It is visible that measurement and estimation fit well, which supports the statement that the changing result of the DR threshold is caused by the varying interference scenario.
