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.
Volume (Year): 82 (2012)
Issue (Month): 10 ()
|Contact details of provider:|| Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description|
|Order Information:|| Postal: http://www.elsevier.com/wps/find/supportfaq.cws_home/regional|
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
When requesting a correction, please mention this item's handle: RePEc:eee:stapro:v:82:y:2012:i:10:p:1837-1840. See general information about how to correct material in RePEc.
If references are entirely missing, you can add them using this form.