A generalization of a well-known covariance inequality is proved and is used to furnish sufficient conditions for the strict concavity of the log-likelihood of an observable random variable Y as a function of a real parameter θ that governs the distribution of an unobservable random variable X on which the distribution of Y depends in a known way.
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Robert A. Wijsman (1985) studied this question.