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| The CATMOD Procedure |
| s | = | number of populations or samples ( = number of rows in the underlying contingency table) |
| r | = | number of response categories (= number of columns in the underlying contingency table) |
| q | = | number of response functions computed for each population |
| d | = | number of parameters |
| j | denotes a column vector of 1s. |
| J | denotes a square matrix of 1s. |
| is the sum over all the possible values of k. | |
| ni | denotes the row sum |
| DIAGn(p) | is the diagonal matrix formed from the first n elements of the vector p. |
| DIAGn-1(p) | is the inverse of DIAGn(p). |
| DIAG(A1, A2, ... , Ak) | denotes a block diagonal matrix with the A matrices on the main diagonal. |
Input data can be represented by a contingency table, as shown in Table 22.4.
Table 22.4: Input Data Represented by a Contingency Table
| Response | |||||
| Population | 1 | 2 | ... | r | Total |
| 1 | n11 | n12 | ... | n1r | n1 |
| 2 | n21 | n22 | ... | n2r | n2 |
| s | ns1 | ns2 | ... | nsr | ns |
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