TY - JOUR
T1 - Statistical Inference for the Parameter of Rayleigh Distribution Based on Progressively Type-I Interval Censored Sample
AU - Abdalroof , M. S.
AU - Zhao , Zhiwen
AU - Wang , Dehui
JO - Communications in Mathematical Research 
VL - 2
SP - 108
EP - 118
PY - 2021
DA - 2021/05
SN - 31
DO - http://doi.org/10.13447/j.1674-5647.2015.02.02
UR - https://global-sci.org/intro/article_detail/cmr/18935.html
KW - EM algorithm, maximum likelihood estimation, moment method, Bayes
estimation, Rayleigh distribution
AB - <p style="text-align: justify;">In this paper, the estimation of parameters based on a progressively
type-I interval censored sample from a Rayleigh distribution is studied. Different
methods of estimation are discussed. They include mid-point approximation estimator, the maximum likelihood estimator, moment estimator, Bayes estimator, sampling
adjustment moment estimator, sampling adjustment maximum likelihood estimator
and estimator based on percentile. The estimation procedures are discussed in details
and compared via Monte Carlo simulations in terms of their biases.</p>