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Modeling censored data using modified lambda family

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  • Haritha N. Haridas

Abstract

In the present article we propose the modified lambda family (MLF) which is the Freimer, Mudholkar, Kollia, and Lin (FMKL) parametrization of generalized lambda distribution (GLD) as a model for censored data. The expressions for probability weighted moments of MLF are derived and used to estimate the parameters of the distribution. We modified the estimation technique using probability weighted moments. It is shown that the distribution provides reasonable fit to a real censored data.

Suggested Citation

  • Haritha N. Haridas, 2017. "Modeling censored data using modified lambda family," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(8), pages 3838-3847, April.
    • Handle: RePEc:taf:lstaxx:v:46:y:2017:i:8:p:3838-3847
    DOI: 10.1080/03610926.2015.1073316
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