117 / 2017-06-18 18:47:08
Parameter Estimation of Discrete-continuous Mixture Distributions
EM algorithm,mixture distribution,parameter estimation
Draft Rejected
Hang Feng / Naval University of Engineering
Sheng-bing Wang / Naval University of Engineering
The paper deals with the problem of discrete-continuous mixture distribution parameter estimation. Using the principle of maximal likelihood estimation, the likelihood function of unknown parameters is given, the Q function and the updating formulas of the unknown parameters are deduced when using the EM algorithm for parameter estimation, and the flowchart of EM algorithm is given. Then, the EM algorithm is used on numerical simulation experiments, and the validity of EM algorithm in solving these problems is verified. At the same time, this paper finds that the estimation accuracy of EM algorithm was very affected by the initial value.
Important Date
  • Conference Date

    Jul 22

    2017

    to

    Jul 23

    2017

  • Jul 10 2017

    Draft paper submission deadline

  • Jul 18 2017

    Draft Paper Acceptance Notification

  • Jul 18 2017

    Final Paper Deadline

  • Jul 23 2017

    Registration deadline

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