JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2020, Vol. 55 ›› Issue (6): 10-16.doi: 10.6040/j.issn.1671-9352.0.2019.752

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Parameter estimation of linear exponential distribution based on truncated and censored data

SUI Yun-yun1, HU Jiang-shan1, MA Shu-cai2, FU Yun-peng2   

  1. 1. School of Mathematics and Information Science, Weifang University, Weifang 261061, Shandong, China;
    2. School of Economics, Liaoning University, Shenyang 110036, Liaoning, China
  • Published:2020-06-01

Abstract: The parameter estimation of linear exponential distribution based on truncated and censored data model is studied. The maximum likelihood estimation method and EM algorithm are respectively used to estimate the unknown parameters, and stochastic simulations are carried out. It is found that the parameter estimation obtained by maximum likelihood estimation is similar to that obtained by EM algorithm, but the convergence speed of EM algorithm is faster.

Key words: truncated and censored data, linear exponential distribution, EM algorithm

CLC Number: 

  • O213.9
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