Overview of Maximum Likelihood Estimation

  • Frank E. HarrellJr.
Part of the Springer Series in Statistics book series (SSS)


In ordinary least squares multiple regression, the objective in fitting a model is to find the values of the unknown parameters that minimize the sum of squared errors of prediction. When the response variable is polytomous or is not observed completely, a more general objective to optimize is needed.


Maximum Likelihood Estimate Penalty Function Wald Statistic Bootstrap Distribution Observe Information Matrix 


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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Frank E. HarrellJr.
    • 1
  1. 1.Department of BiostatisticsVanderbilt University School of MedicineNashvilleUSA

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