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Johnson Hsieh

EM algorithm; Finite mixture model; Generalized linear model; Maximum likelihood.

Tecnología Empresariales

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

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.

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

1. 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

9. Application 06/02/09 g9624515 謝宗震

10. 06/02/09 g9624515 謝宗震

11. 06/02/09 g9624515 謝宗震

12. Application 06/02/09 g9624515 謝宗震

13. 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.

14. Application 06/02/09 g9624515 謝宗震

15.

16.

17. Thank you for your listening. 06/02/09 g9624515 謝宗震

Paper Summary

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