Abstract
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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© 1984 Springer-Verlag Berlin Heidelberg
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Saphire, D.G. (1984). Model-Based Estimators. In: Estimation of Victimization Prevalence Using Data from the National Crime Survey. Lecture Notes in Statistics, vol 23. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-5270-2_4
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DOI: https://doi.org/10.1007/978-1-4612-5270-2_4
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-96020-3
Online ISBN: 978-1-4612-5270-2
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