The multivariate hypergeometric distribution can be simplified to a multinomial assuming "sample-with-replacement," which is often a good approximation when D s D is small.
according to the multinomial model, an estimator and its variance would be: for the margin-free model, the "sample-with-replacement" simplification still results in the same estimator but slightly overestimates the variance.