@Article{CMR-31-2,
author = {S., M., Abdalroof and Zhiwen, Zhao and Wang, Dehui},
title = {Statistical Inference for the Parameter of Rayleigh Distribution Based on Progressively Type-I Interval Censored Sample},
journal = {Communications in Mathematical Research },
year = {2015},
volume = {31},
number = {2},
pages = {108--118},
abstract = {<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>},
issn = {2707-8523},
doi = {https://doi.org/10.13447/j.1674-5647.2015.02.02},
url = {https://global-sci.com/article/81705/statistical-inference-for-the-parameter-of-rayleigh-distribution-based-on-progressively-type-i-interval-censored-sample}
}