### Table 1: Binary variables/Constraints comparison

1998

"... In PAGE 8: ... Again, tighter cuts can be generated similarly to cuts (20). 5 Comparison between formulations Table1 presents a comparison between the four formulations, in particular on the number of binary variables and constraints. The row Weighted indicates if the weigted case can be easily considered with the formulation.... ..."

Cited by 1

### TABLE 2 Absolute and relative frequencies of the binary variables.

1997

Cited by 2

### Table 7 Logistic regressions relating the probability of censure by the Review Panel to measures of earnings performance, leverage, new equity issues, board structure, ownership structure and auditor type. The sample comprises 47 Review Panel firms and 47 control firms. Each of the 47 Review Panel firms is matched with a control firm on the basis of industry and size (total assets employed) at the beginning of the year in which the defective financial report was issued.

### TABLE II BINARY VARIABLESUSEDTO ASSESSDECISIONFACTORS Factor Binary Variable

### Table 4. Comparison of misclassification error rates for single and bagged KDE classifiers

### Table 1: Descriptive statistics for all predictor variables Binary variables Yes No

2005

"... In PAGE 4: ... The second was the span measure between the NP and all previous noun-phrases. Table1 shows descriptive statistics for all predictor variables. The relative frequencies for the criteria variable, Prince category, across all 478 NPs were 317, 116, and 45, for given, inferable, and new observations, respectively.... ..."

Cited by 2

### Table 1: Problem description with di erent tmax and number of binary variables

"... In PAGE 10: ... In all test problems three di erent nal products are to be produced. Table1 contains all di erent problems together with the considered values of tmax and the corresponding number of binary variables. Here Problem 24-13-10 means that 24 kg of nal product P1, 17 kg of... ..."

### Table 1: A database of cases over two binary variables.

1993

Cited by 28

### Table 5.6: Percent of Binary Variables Pruned in MILP |D|

2006