### Table 1. Estimation error of lag correlations.

2005

"... In PAGE 2: ... This figure shows that AutoLag closely approximates the correlation coeffi- cients. Table1 shows that the estimation error of captured lag correlations. The experiments demonstrate clearly that AutoLag detects the correct lag perfectly most of the time.... ..."

Cited by 1

### Table 7.1 demonstrates the detection of the host for the game show, Who Wants To Be A Millionaire . Six candidates are picked for the host. Note that of the six candidates, four are shots of the host. The bot- tom row shows the summation of correlation values for each candidate. The sixth candidate has the highest correlation sum and is automatically

### Table I. Two experiments that demonstrate horizontal and vertical correlation among instruction flelds. Column 2 presents program size after compression using PPMD and columns 3 and 4 show the relative change in flle size after compress- ing separately register and register addressing flelds and the program remainder (experiment A) and compressing separately the displacement of CALL instructions and the program remainder (experiment B).

### Table 1 Quality values Q1; Q2 and dependency indices D for optimal and human-generated example. A third way to assess the demonstration qual- ity is to calculate the correlation between sensor measurements (inputs) and control actions (out- puts). Based on the entropy E(uk) and the condi- tional entropy Ec(ukjyj), a dimensionless depen- dency index D(uk; yj) := (1 ? Ec(ukjyj) E(uk) )2 with

1995

Cited by 19

### Table 1 Quality values Q1; Q2 and dependency indices D for optimal and human-generated example. A third way to assess the demonstration qual- ity is to calculate the correlation between sensor measurements (inputs) and control actions (out- puts). Based on the entropy E(uk) and the condi- tional entropy Ec(ukjyj), a dimensionless depen- dency index D(uk; yj) := (1 ? Ec(ukjyj) E(uk) )2 with

1995

Cited by 19

### Table 3: Correlations between age, performance, experience, and quiz scores (* p lt;.05, ** p lt;.01)

2004

"... In PAGE 3: ... However, some measures related to experience and age were collected for each study. Table3 demonstrates the correlations between each of these measures. Every study did not collect every measure.... ..."

Cited by 2

### Table 2. Decoding of kinematic parameters. Correlation coefficients (r) between the actual and decoded kinematic parameters (horizontal position of the cursor (X), vertical position (Y), horizontal velocity (Vx) and vertical velocity (Vy)) and the average across kinematic parameters (Avg r). Top group: correlation coefficients are given, for each parameter and dataset, for the worst and the best of the five cross-validation folds. Bottom group: median values of correlation between the actual and decoded kinematic parameters, calculated across all five cross-validation folds. These results demonstrate that good reconstruction of kinematic parameters (on data that were not used to train the algorithm) is possible using ECoG signals in humans.

2006

"... In PAGE 5: ...1. Accurate decoding of kinematic parameters Table2 shows the principal results of this study, which are given in correlation coefficients calculated between actual and decoded kinematic parameters. The generally high correlation coefficients demonstrate that it is possible to infer accurate information about joystick kinematic parameters in real time using ECoG signals in humans (see figure 3 and the movie in the supplementary material at stacks.... ..."

### Table 2: The correlation between expressions for k = 2 and

"... In PAGE 4: ... For clarity, we shall #0Crst demonstrate each step in the computation process for the case where k = 2, and then give the general solution. Table2 presents the correlation between the expressions for k = 2 and general k.... ..."

### TABLE 4 CorrelationsCoefficientsbetweenUSEandGENEScaleswithPredictorVariables.

### Table 5 reports the regression results. The analysis includes a second measure of historical volatility, s 1 , but this 1-day measure fails to demonstrate much ty1 explanatory power. This result may seem to contradict studies such as Ding et al. .1993 that find serial correlation in absolute returns. The t-statistic reported in the . table for 1yb , however, does imply that the estimate of b is significantly positive t )3 . This finding is consistent with the level of first-order serial bs0

1998

"... In PAGE 22: ... correlation in absolute returns for this sample period 5% . Because the serial correlation in s 1 is relatively low, the regressions reported in Table5 are largely unaffected by the spurious regression problem. As a result, the coefficient estimates in Panel A are generally consistent with the unbiasedness results from Section 4.... ..."

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