Model-Based Estimators

  • Diane Griffin Saphire
Part of the Lecture Notes in Statistics book series (LNS, volume 23)


In this chapter we consider several superpopulation models of victimization and derive an estimate of θ on the basis of each. The fit of each model is tested using a X2 goodness of fit statistic for each of the years 1973 though 1975. We find that a correlated Bernoulli model is an inappropriate model of crime, while a homogeneous Bernoulli model and a Markov model provide better fits to the data. None of these models fits the data as well as the model under which the modified ad hoc estimator is consistent.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1984

Authors and Affiliations

  • Diane Griffin Saphire
    • 1
  1. 1.Department of MathematicsTrinity UniversitySan AntonioUSA

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