TY - JOUR
T1 - Statistical Inference for the Parameter of Pareto Distribution Based on Progressively Type-I Interval Censored Sample
AU - Zhao , Zhiwen
AU - Wang , Dehui
JO - Communications in Mathematical Research 
VL - 4
SP - 345
EP - 357
PY - 2021
DA - 2021/05
SN - 30
DO - http://doi.org/10.13447/j.1674-5647.2014.04.08
UR - https://global-sci.org/intro/article_detail/cmr/18958.html
KW - EM-algorithm, maximum likelihood estimation, method of moment,
Bayes estimation.
AB - <p style="text-align: justify;">In this paper, the estimation of parameters based on a progressively type-I interval censored sample from a Pareto distribution is studied. Different methods
of estimation are discussed, which include mid-point approximation estimator, the
maximum likelihood estimator and moment estimator. The estimation procedures
are discussed in details and compared via Monte Carlo simulations in terms of their
biases.</p>