### TABLE 2. OTHER OUT-OF-PLANE TEST METHODS EVALUATED Test method type Test methods

1996

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### Table 1: Maximum in-plane to out-of-plane sampling ratios of non- uniform input datasets, and parameters for the two level set speed terms defined in Eq. (3) and Eq. (4).

2002

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### TABLE II. Measured d-spacing of V2O3 films on c- and a-plane sapphire substrates compared to bulk value to compute out-of-plane misfits (experimental value is compared to theoretical value).

2007

### Table 1 shows the RMS error (absolute error in pixels/s) of the LIMSI-CLIPS ODP-PIV sys- tem on the VSJ standard sequences std01 to std08 (problem 1). Std01 is a typical case and std02 to std08 explore some variations of the operating conditions around it. The detailed operating conditions are described on the VSJ web site. The vector field to be recovered is the same in all 8 experiments and its RMS is of 243 pixels/sec. Density is 100 %.

2000

"... In PAGE 4: ... Table1 RMS error on the VSJ standard sequences std01 to std08 Table 2 shows a fully commented version of the same results including the virtual exper- iment parameters (N, number of visible particles, T, time interval (ms), v, in-plane velocity (pixel/interval), L, laser sheet thickness (mm) w, out-of-plane velocity (-/interval), Pa, particle average diameter (pixels), Pd, particle diameter standard deviation (pixels)) and the relative RMS errors. However, all the useful information for system performance evaluation and comparison is the one displayed in table 1.... ..."

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### Table 3. Results of initial experiments to use principal component analysis for Paradyn IS evaluation.

"... In PAGE 18: ... In order to use 2k factorial design technique, we need to conduct 16 experiments to obtain the required data needed for the principal component analysis. Table3 shows the results of these experiments. We use the technique outlined by Jain to perform the principal component analysis [13].... ..."

### Table 9 Principal Components Analysis of Study II Data (N = 200)

"... In PAGE 60: ... The analysis was conducted both with and without the MAB Information scale included because this measure was not administered in Study III and it was important to compare analyses based on the same set of paper-and-pencil measures for the two studies. Since the results were highly similar, the solution without MAB Information is presented in Table9 . By removing MAB Information, the same variables could be analyzed in both the Study II and III samples.... In PAGE 65: ... Such an analysis requires the evaluation of correlated components. Accordingly, the varimax rotated principal components matrix reported in Table9 was analyzed by a variant of a procedure described by Schmid and Leiman (1957). The varimax matrix was subjected to an oblique rotation using promax (Hendrickson amp; White, 1964).... ..."

### Table 6. Results from analysis of principal components.

1998

"... In PAGE 11: ...Table6 . We used a normal principal component analysis with a orthotran/varimax transformation.... ..."

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### Table 5: STREW-J metrics Test quantification

2005

"... In PAGE 18: ...Table5 , they are converted into independent parameters (principle components) in the equation itself. Figure 2 shows the complete model fit for all the 27 open source projects built using the principal components of the STREW metrics as the independent variable and the post-release failure density as the dependent variable.... ..."

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