Bekker, A. and Roux, J.J. (2005) Reliability Characteristics of the Maxwell Distribution: A Bayes Estimation Study. Communications in Statistics—Theory and Methods, 34, 2169-2178.
http://dx.doi.org/10.1080/STA-200066424

has been cited by the following article:

• TITLE: Bayesian Estimation and Prediction for the Maxwell Failure Distribution Based on Type II Censored Data

  AUTHORS: Anwar M. Hossain, Gabriel Huerta

  KEYWORDS: Bayes Estimator, HPD Interval, Maxwell Distribution, MLE, Prediction, Reliability Function

  JOURNAL NAME: Open Journal of Statistics, Vol.6 No.1, February 23, 2016

  ABSTRACT: We present Bayes estimators, highest posterior density (HPD) intervals, and maximum likelihood estimators (MLEs), for the Maxwell failure distribution based on Type II censored data, i.e. using the first r lifetimes from a group of n components under test. Reliability/Hazard function estimates, Bayes predictive distributions and highest posterior density prediction intervals for a future observation are also considered. Two data examples and a Monte Carlo simulation study are used to illustrate the results and to compare the performances of the different methods.