### Table 3. Two-dimensional contingency table

"... In PAGE 9: ... In our study we have two variables, real risk and predicted risk, that can assume only two discrete values, low and high, in a nominal scale. Thus the data can be represented by a two-dimensional contingency table, shown in Table3 , with one row for each level of the variable real risk and one column for each level of the variable predicted risk. The intersections of rows... ..."

### Table 3. Two-dimensional contingency table

"... In PAGE 9: ... In our study we have two variables, real risk and predicted risk, that can assume only two discrete values, low and high, in a nominal scale. Thus the data can be represented by a two-dimensional contingency table, shown in Table3 , with one row for each level of the variable real risk and one column for each level of the variable predicted risk. The intersections of rows... ..."

### Table 14. Two-dimensional test problems.

1995

"... In PAGE 24: .... ALBERT, B. COCKBURN, D. FRENCH, AND T. PETERSON scheme: vi;j + H vi+1;j vi 1;j 2 x ; vi;j+1 vi;j 1 2 y !x vi+1;j 2vi;j + vi 1;j x2 !y vi;j+1 2vi;j + vi;j 1 y2 = fi;j; where we can take, for example, !x =sup (x;y)2 x 2 H1 @f @x(x; y); @f @y(x; y) ; !y =sup (x;y)2 y 2 H2 @f @x(x; y); @f @y(x; y) ; and Hi(p1;p2)=@H @pi (p1;p2)fori =1; 2. We apply this scheme to the two test problems in Table14 ; note that p =(p1;p2). In our numerical examples, in order to reduce the arti cial viscosity of the scheme, we replace f by the exact solution u in the formulae de ning !x and !y.... In PAGE 27: ...i usion. These subjects will also be considered in forthcoming papers. Acknowledgments. The authors would like to thank one of the referees, whose criticisms led to a complete revision of the paper, and also Timothy Barth for pointing out mistakes in Table14 and in the choice of the parameter ! for the computation of Tables 15 to 17 in an earlier version of the paper. References 1.... ..."

Cited by 12

### Table 1 Description of two-dimensional meshes.

1993

"... In PAGE 6: ... The meshes embedded in R2 were obtained from triangulations of domains that are either simple polygons or polygons with holes. With respect to Table1 , the airfoils and the problem labeled \binaca quot; arise from practical applications. The problems, \eppstein quot;, \parc quot;, \venkat 1 quot; and \venkat 2 quot; were generated by various mesh generators.... ..."

Cited by 11

### Table 1 Description of two-dimensional meshes.

1993

"... In PAGE 6: ... The meshes embedded in R2 were obtained from triangulations of domains that are either simple polygons or polygons with holes. With respect to Table1 , the airfoils and the problem labeled \binaca quot; arise from practical applications. The problems, \eppstein quot;, \parc quot;, \venkat 1 quot; and \venkat 2 quot; were generated by various mesh generators.... ..."

Cited by 11

### Table1 Description of two-dimensional meshes.

"... In PAGE 6: ... The meshes embedded in R 2 were obtained from triangulations of domains that are either simple polygons or polygons with holes. With respect to Table1 , the airfoils and the problem labeled #5Cbinaca quot; arise from practical applications. The problems, #5Ceppstein quot;, #5Cparc quot;, #5Cvenkat 1 quot; and #5Cvenkat 2 quot; were generated byvarious mesh generators.... ..."

### Table 3. Details of one- and two-dimensional analysis.

"... In PAGE 5: ... Therefore, one-dimensional and two-dimensional analyses are good starting points in the preparation of FMEA, since they provide information on problematic areas and their interaction. Table3 describes details of one-dimensional and two-dimensional analyses. Type Description ... ..."