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Exact(7)
Residuals of raw maximum VCSN and nearest NIWA station estimates were correlated with elevation difference, but adjusted estimates were less clearly correlated with elevation difference.
Figure 17 shows the raw maximum echo output for the side-facing radar against the service-side rib-wall, together with the MA filter and KF results.
Figure 4(a) shows the raw maximum amplitude projection (MAP) image.
Note that the structure seen in the reconstructed images is present in the raw maximum images.
The advantage of this approach is that participants with incomplete data can be included in the analyses, as Mx provides a method for handling incomplete data by using raw maximum likelihood estimation, in which a likelihood statistic (−2LL) of the data for each observation is calculated.
The use of raw maximum likelihood estimation implies that there is no overall measure of fit (such as a χ-value with corresponding p-value for the number of degrees of freedom, as obtained by fitting directly on observed variance covariance matrices).
Similar(53)
As is clear from a cursory inspection of Fig. 12, the raw maximum-echo radar data is quite noisy, and thus filtering is required in order to obtain a reasonable position estimate for creep and to attempt to mask any peaks corresponding to the bolt-plate waypoints.
All models were fitted using raw data maximum likelihood.
Given that the data are MAR, unbiased parameter estimates can be obtained by full information (i.e., raw data) maximum likelihood estimation of the parameters in a statistical model that includes the variables that were used for selection.
Missing items were handled with the weighted least square estimation (WLSMV) with missing data in Mplus (for the EFA and MI analyses), and the raw data maximum likelihood approach in Mx (for the additional MI analyses), allowing the use of all available data (Muthén and Muthén 2007; Neale et al. 2006b).
This is due to the calculation of the first derivative, as the raw peak maxima are now located at zero.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com