Analysis of left truncated data with an application to insurance data
Berentsen, Geir Drage
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This thesis discusses different ways of analysing left truncated data when the lower bound itself is a stochastic variable. We will consider the possible dependence between the variable of interest and the truncating variable, and how the dependency structure between these variables influence estimation of the underlying distribution.