### Table 1. Simulation Results of Applying Matching Statistic and FDR Procedure.

"... In PAGE 15: ...quals 0.015, 0.025, 0.006 and 0.012, respectively. Clearly the biggest deviation occurs when the associated haplotype is also common in the controls and the least detectable deviation occurs when two haplotypes are associated with the disease and these haplotypes are relatively rare in the controls. Not surprisingly the latter condition (a2 a19 a1 ) exhibits considerably lower power than the other three conditions ( Table1 ). Overall, the relative power is correlated with the size of the true deviation, a1 a7 , but the power also depends upon a13 a7 .... In PAGE 16: ..., also affects the overall performance of the method ( Table1 ). When 20% of the regions deviate from the null both a11 a1 and a11 a0 are positively biased and the bias in a11 a0 is substantial.... ..."

### Table 5: Statistics for #0Cve algorithms applied to

"... In PAGE 7: ... Our experiments demonstrated #28not shown here for lack of space#29 that including the learned constraint improved signi#0Ccantly to e#0Bectiveness of this scheme. Also, using this set of experiment as an example to application-based random problems we observed #28see Table5 #29 that on small problems #28100 instances#29 BT+DVO+IAC is the best algorithm. However on larger problems it had the worst average time while quot;pure quot; BJ+DVOwas best.... ..."

### Table 1. Breakdown of the 189 statistical tests applied during experimentation

2000

"... In PAGE 1: ... This suite consists of 16 core statistical tests that, under different parameter inputs, can be viewed as 189 statistical tests. Table1 lists each of the core statistical 1 For up-to-date information on the AES development effort visit http://csrc.... ..."

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### Table 5: Statistical results of applying the algorithms to the Iris data set.

2002

"... In PAGE 15: ... However, from the clustering with M = 2 (corresponding to the significant plateau), one cluster almost perfectly matches the samples of class I and the other cluster matches the samples of class II+III of the Iris class labels. The statistics in Table5 show similar differences between the MVC, K-means, and GMM algorithm as in the other experiments. 4 Discussion We presented a maximum variance cluster algorithm (MVC) for partitional clustering.... ..."

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### Table 4: Statistical results of applying the algorithms to the German Towns data set.

2002

"... In PAGE 13: ... 10(b), we can conclude that it is certainly arguable if this data set contains significant structure. Table4 shows similar hit rates as before and the K-means algorithm was again the fastest. Finally, we processed the well-known Iris data set with both algorithms.... ..."

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### TABLE I STATISTICAL INDEXES APPLIED ON RANDOMLY CHOSEN ASSETS

### Table 1. Breakdown of the 188 statistical tests applied during experimentation.

### Table 4.1 ANOVA Summary Table for Average Task Completion Time.

1996

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### Table 4.4 ANOVA Summary Table for Subjective Ratings on System Lag.

1996

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### Table 4.7 ANOVA Summary Table for Subjective Ratings on Task Difficulty.

1996

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