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Multivariate mixtures of Erlangs for density estimation under censoring and truncation: additional examples

Roel Verbelen, Katrien Antonio and Gerda Claeskens

No 493730, Working Papers Department of Accountancy, Finance and Insurance (AFI), Leuven from KU Leuven, Faculty of Economics and Business (FEB), Department of Accountancy, Finance and Insurance (AFI), Leuven

Abstract: In this addendum to Verbelen et al. (2015), we present several additional examples of the calibration procedure for fitting multivariate mixtures of Erlangs to censored and truncated data.

Date: 2015
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Published in FEB Research Report KBI_1511

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Working Paper: Multivariate mixtures of Erlangs for density estimation under censoring and truncation: additional examples (2015) Downloads
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