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Point estimation
Point estimation

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Learning outcomes

After studying this course, you should be able to:

  • calculate the maximum likelihood estimator using calculus

  • work with the log-likelihood instead of the likelihood itself

  • understand that maximum likelihood estimation of a function of a parameter is equivalent to taking that function of the maximum likelihood estimator

  • define and calculate the bias of an estimator and choose between unbiased estimators on the basis of their variances

  • understand and calculate the Cramèr-Rao lower bound for the variance of any unbiased estimator.