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Article #491MLE for Beta distribution?
From: Charles Robert Yount
Date: Thu, 11 Mar 1993 19:29
Date: Thu, 11 Mar 1993 19:29
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1321 bytes
I have 90 data points which I think follow a beta distribution, i.e., they are in the range [0..1], and the distribution has a nice hump centered around 0.97. Can someone point me to a way to calculate the maximum likelihood estimators for the two shape parameters? I derived a pair of functions with two digamma functions each, but I'm not sure what to do then. Also, I need to test the hypothesis that it really is from a beta. Should I find the MLEs first, or is there a better way? Or is this a chicken-and-egg problem? Thanks, Chuck Yount
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arc1-ca.pugleaf.net!sparky!uunet!destroyer!caen!zaphod.mps.ohio-state.edu!pacific.mps.ohio-state.edu!cis.ohio-state.edu!news.sei.cmu.edu!fs7.ece.cmu.edu!fs7!yountShow Full Headers
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X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: fa720,848e1d446410532,start X-Google-Attributes: gidfa720,public X-Google-Thread: f8fde,848e1d446410532,start X-Google-Attributes: gidf8fde,public X-Google-ArrivalTime: 1993-03-11 12:21:12 PST Newsgroups: cmu.ece.general,sci.math.stat Path: arc1-ca.pugleaf.net!sparky!uunet!destroyer!caen!zaphod.mps.ohio-state.edu!pacific.mps.ohio-state.edu!cis.ohio-state.edu!news.sei.cmu.edu!fs7.ece.cmu.edu!fs7!yount From: yount@fox.ece.cmu.edu (Charles Robert Yount) Subject: MLE for Beta distribution? Message-ID: <YOUNT.93Mar11142943@fox.ece.cmu.edu> Sender: news@fs7.ece.cmu.edu (USENET News System) Organization: Electrical and Computer Engineering, Carnegie Mellon Date: Thu, 11 Mar 1993 19:29:43 GMT Lines: 14