Suppose independent counts have Poisson distributions with means and , where the known exposures are positive and is a shared rate ratio. Put . Maximizing over each baseline givesZero-total strata contribute no information about ; their baseline maximum is at zero in the parameter-space closure. For every positive-total stratum its fitted second-count fraction increases with , so its contribution to the score function decreases. Explicitly,whenever some . The limiting score function values are and . If both totals are positive, there is therefore exactly one finite positive maximum-likelihood estimator. A zero total in one condition instead gives a boundary supremum at or ; two zero totals leave unidentifiable.
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