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The central limit theorem for maximum likelihood estimators of vector parameters: Locally uniform convergence

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Abstract

Weak conditions are given which insure that the convergence in the central limit theorem for maximum likelihood estimators of vector parameters takes place uniformly on compact subsets of the parameter-space.

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  1. Mathematisches Institut der Universität zu Köln, Weyertal 86, 5000, Köln 41

    R. Michel

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  1. R. Michel
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Michel, R. The central limit theorem for maximum likelihood estimators of vector parameters: Locally uniform convergence. Manuscripta Math 23, 247–268 (1978). https://doi.org/10.1007/BF01171752

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  • DOI: https://doi.org/10.1007/BF01171752

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