Abstract
This paper investigates the logarithmic least squares (LLSM) approach to Saaty's (Journal of Mathematical Psychology, 1977, 5, 234-281) scaling method for priorities in hierarchical structures. It is argued that statistical criteria are important in deciding the scaling method controversy. It is shown that LLSM is statistically optimal under a number of realistic and practical models. Variances and covariances of parameter estimates are derived. The covariance matrix associated with overall priority differences is also developed. These results allow for a significance analysis of apparent priority differences.
Original language | English |
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Pages (from-to) | 467-478 |
Number of pages | 12 |
Journal | Journal of Mathematical Psychology |
Volume | 28 |
Issue number | 4 |
DOIs | |
Publication status | Published - 1984 |
Externally published | Yes |