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What is Geyer - 2020 - Unbiased Estimating Equations about?

The document discusses the theory of unbiased estimating equations, generalizing maximum likelihood estimation for independent and identically distributed data. It introduces the concept of estimating equations, their properties, and applications, including misspecified maximum likelihood and composite likelihood methods. Key results include the asymptotic distribution of estimators and the Godambe information matrix, which relates to the efficiency of estimators in the context of unbiased estimating equati

Author

陈乾

Language

EN