Characterization properties of the log-normal distribution obtained with the help of divergence measures
The aim of this work is to provide some characterization properties of the log-normal distribution with the help of divergence measures between a probability density function f and its r-size weighted counterpart fr. The characterization can be expressed in terms the Kullback–Leibler, the Rényi or the Cressie and Read divergence measures.
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Volume (Year): 82 (2012)
Issue (Month): 10 ()
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- P. Economou & C. Caroni, 2009. "Fitting parametric frailty and mixture models under biased sampling," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(1), pages 53-66.
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