2008
DOI: 10.1080/03610920701713286
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Gamma Mixture: Bimodality, Inflexions and L-Moments

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Cited by 4 publications
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“…Our hypothesis was that the wear debris morphology represents multiple overlapping or mixture distributions [19][20][21][22][23]. Therefore, the objective of this work was to investigate and compare PE debris distributions using single, dual (bi), and mixture distribution models.…”
Section: Introductionmentioning
confidence: 99%
“…Our hypothesis was that the wear debris morphology represents multiple overlapping or mixture distributions [19][20][21][22][23]. Therefore, the objective of this work was to investigate and compare PE debris distributions using single, dual (bi), and mixture distribution models.…”
Section: Introductionmentioning
confidence: 99%
“…The different bimodal and skew distributions have been proposed over the last decade to construct flexible distributions. The proposed distributions are in [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ] and references therein via using different generating techniques [ 27 ] to get a probability density function (PDF). In these distributions, -skew form of gamma distribution on the real line was proposed by [ 5 , 6 ].…”
Section: Introductionmentioning
confidence: 99%