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Paper Summary Maximum Likelihood in a Generalized linear Finite Mixture Model  by Using the EM Algorithm Jansen, R.C.; Reinink, K.; Heijden, G.W.A.M. van der (1993) 06/02/09 g9624515  謝宗震
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],06/02/09 g9624515  謝宗震
Motivation ,[object Object],[object Object],[object Object],06/02/09 g9624515  謝宗震
Introduction ,[object Object],06/02/09 g9624515  謝宗震
Method ,[object Object],[object Object],06/02/09 g9624515  謝宗震
Method 06/02/09 g9624515  謝宗震 ,[object Object]
Method ,[object Object],[object Object],[object Object],06/02/09 g9624515  謝宗震
Method ,[object Object],[object Object],06/02/09 g9624515  謝宗震
Application 06/02/09 g9624515  謝宗震
06/02/09 g9624515  謝宗震
06/02/09 g9624515  謝宗震
Application 06/02/09 g9624515  謝宗震
Application 06/02/09 g9624515  謝宗震 Results of fitting a generalized linear finite mixture model of ten and two Weibull distributions to a mutant and a control mouse, respectively.
Application 06/02/09 g9624515  謝宗震
Discuss ,[object Object],[object Object],[object Object],06/02/09 g9624515  謝宗震
Reference ,[object Object],[object Object],06/02/09 g9624515  謝宗震
Thank you for your listening.  06/02/09 g9624515  謝宗震

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Paper Summary