### Table 2. Orthogonal Array [26]

"... In PAGE 7: ... The fourth group consists of randomized 1 a CS + 2 a CS part and randomized 1 b CS + 2 b CS part. Table2 illustrates an example of the orthogonal arrays. Generally, level 0 and level 1 of a factor represent the selected genes from parents 0 and parents 1, respectively.... ..."

### Table 2: Orthogonal Array

in NO WARRANTY

2001

"... In PAGE 32: ... An exhaustive test set for these three factors, each with three levels, would require 27 test cases. Table2 shows an orthogonal array that addresses pair-wise combinations and uses nine test cases to cover three factors with three levels. Table 2: Orthogonal Array ... ..."

### Table 6 L27 standard orthogonal array.

2002

"... In PAGE 14: ... Orthogonal Matrix Analysis The next step in the statistical sensitivity analysis was to choose a standard orthogonal array to define the finite element cases to be run. The standard L27 orthogonal array,11 shown in Table6 , fits exactly the 13 factors with three levels each defined in Table 5. Twenty seven finite element analyses were performed with the combination of factor levels defined in Table 6.... In PAGE 14: ...The TPS sizing finite element model described previously was used to perform the analyses defined in Table6 . The model was modified by adding a line of one-dimensional conduction elements to represent a thin layer of beryllium at the location specified by factor K in Table 5 and the mass defined by factor A of Table 5.... In PAGE 14: ...5 The results of the 27 TPS sizing analyses are shown in Table 7. For each finite element TPS sizing analysis defined by Table6 a number of results are shown. The TPS thickness was calculated by adding the insulation thickness from the sizing analysis to the thickness of the outer Inconel honeycomb sandwich and the thickness of the strip of felt under the perimeter of the panel.... ..."

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### TABLE II ORTHOGONAL ARRAY 76 4051 41

2005

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### Table 7: The L18 orthogonal array

"... In PAGE 18: ... 4.2 L18 design L18 which is shown in Table7 is one of the most popular designs among industrial experimenters. Its aliasing structure is complicated and it has no de ning relations in the combinatorial sense.... ..."

### Table 1. Examples of an orthogonal array (left) and a covering array (right)

"... In PAGE 5: ... An orthogonal array satisfies the requirements of a covering array, but a covering array may not be orthogonal. Table1 shows examples of an orthogonal array (left) and a covering array (right). In the orthogonal array, you can select any two columns, and each ordered pair (1,1), (1,2), (2,1), and (2,2) appears exactly once.... ..."

### Table 1. Orthogonal Array OA(9;4;3)

"... In PAGE 3: ... We deflne OA(N; k; s) as an orthogonal array with k fac- tors and each factor with s levels, where N stands for the number of combinations to be tested. Take an orthogonal array OA(9; 4; 3) as an example, which is shown in Table1 . Each column in the array stands for one factor, while the numbers in the column represent the levels of the factor.... ..."

### Table 3. Orthogonal Array L8(27)

2004

"... In PAGE 21: ... The usage of these arrays can significantly reduce the number of required simulation runs for a system involving many parameters. An example of the Orthogonal Array is shown in Table3 . This table (L8(27)) is applicable to an experiment that includes 3 parameters with 2 values and their full interactions among these parameters.... ..."

### Table 3. L12 Orthogonal Array and SN Ratio

in An Evaluation of Mahalanobis-Taguchi System and Neural Network for Multivariate Pattern Recognition

"... In PAGE 6: ...enign and eleven data sets are malignant. The healthy (benign) data sets are generalized. The correlation matrix and inverse correlation matrix are calculated. Finally, the Mahalanobis Distances for the selected data sets are calculated as shown in Table3 . The correlation matrix, standard deviation and mean of the healthy data sets are used for the MD of the entire 683 data sets.... In PAGE 8: ...alculated. Abnormal test data is used for calculating the SN ratio. Since the deviation of the abnormal case is bigger than the normal case, the difference between using some attributes and excluding attributes can be easily detected. Table3 represents the L12 orthogonal array and SN ratio. Table 4 and Figure 4 show the optimization results.... ..."

### Table I. Orthogonal array OA(8,4,2,3).

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