Fitting data to beta distribution
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What is the actual likelihood function being maximized when fitting data to the beta distribution using 'betafit', specifically when the data are censored (i.e. when the data contain 0's and/or 1's)? Also, how is the gradient of this likelihood being approximated?
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am 26 Feb. 2017
am 26 Feb. 2017
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