1970
DOI: 10.2307/2284302
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The Maximum-Likelihood Estimate for Contingency Tables with Zero Diagonal

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Cited by 6 publications
(3 citation statements)
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“…The significance of deviation from the Poisson (random) distribution was tested using the formula x2 = CD (nl), and the resulting values were compared with points of the x2 distribution with n -1 degrees of freedom. To test the hypothesis that no individual preferences existed, the expected values of elements of the grooming matrix were estimated using Wagner's iterative algorithm (Wagner, 1970), and the x2 test with n(n -3) + 1 degrees of freedom was applied. On its basis, Tchuproff's T-coefficient of contingency was calculated (Apton, 1978).…”
Section: Methodsmentioning
confidence: 99%
“…The significance of deviation from the Poisson (random) distribution was tested using the formula x2 = CD (nl), and the resulting values were compared with points of the x2 distribution with n -1 degrees of freedom. To test the hypothesis that no individual preferences existed, the expected values of elements of the grooming matrix were estimated using Wagner's iterative algorithm (Wagner, 1970), and the x2 test with n(n -3) + 1 degrees of freedom was applied. On its basis, Tchuproff's T-coefficient of contingency was calculated (Apton, 1978).…”
Section: Methodsmentioning
confidence: 99%
“…The four methods are compared on four sets of data; set I is on p. 1380 of Wagner (1970), set II is reproduced in Table 1, set III is Table 3 of Goodman (1968) and set IV is Table 1 of Morgan, Chambers & Morton (1973). The results of applying the methods to the four tables are given in Table 2.…”
Section: Four Iterative Methodsmentioning
confidence: 99%
“…The second alternative is to eliminate {s3} from (1 1) and (1 2) to give Api(l -pi) = n-i ?pi(n -n_i). Equations (1.4) were used by Wagner (1970) to show that the solution of (1.1) is unique and provides a maximum for L, as long as n. > 0, n_ > 0 and (n?_+n-j) < n for all i. These conditions have since been shown to be necessary and sufficient for the existence of tnique maximum likelihood estimates in the general quasiindependence model (Savage, 1973).…”
mentioning
confidence: 99%