Statistics (ii): Classical Estimation and Hypothesis Testing

  • Warren J. Ewens
  • Gregory R. Grant
Part of the Statistics for Biology and Health book series (SBH)


An introduction to classical estimation and hypothesis testing procedures was given in Chapter 3. However, the theoretical aspects of these procedures were not then discussed. In particular, optimality aspects of the two procedures were not addressed. We now give a brief introduction to both classical estimation theory and classical hypothesis testing theory, focusing on optimality aspects of these theories. Extensive treatments are given respectively in Lehmann (1991) and Lehmann (1986).


Null Hypothesis Alternative Hypothesis Maximum Likelihood Estimator Unbiased Estimator Classical Estimation 
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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Warren J. Ewens
    • 1
  • Gregory R. Grant
    • 2
  1. 1.Department of BiologyUniversity of PennsylvaniaPhiladelphiaUSA
  2. 2.Penn Center for Computational BiologyUniversity of PennsylvaniaPhiladelphiaUSA

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