State-Trace Analysis by John C. Dunn & Michael L. Kalish

Author:John C. Dunn & Michael L. Kalish
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham

Then the corresponding CMR problem is to find a linear extension, E ∗⊇ E, and vectors, P ∗ and Q ∗ consistent with E ∗, that minimize the function,

Here the weight vectors, v and w, are equal to the number of observations N X and N Y . The reason for this is that it can be shown that the solution to this CMR problem is also the maximum likelihood solution under the assumption that each P i and Q i is a random draw from a binomial distribution (Kalish et al. 2016; Robertson, Wright, & Dykstra, 1988).

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