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Bayes and Non-Bayes Estimation Methods for the Parameter of Maxwell-Boltzmann Distribution | ||
| Baghdad Science Journal | ||
| Article 1, Volume 14, Issue 4, 2017, Pages 808-812 | ||
| Authors | ||
| Iden H. Alkanani; Shayma G. Salman | ||
| Abstract | ||
| In this paper, point estimation for parameter θ of Maxwell-Boltzmann distribution has been investigated by using simulation technique, to estimate the parameter by two sections methods; the first section includes Non-Bayesian estimation methods, such as (Maximum Likelihood estimator method, and Moment estimator method), while the second section includes standard Bayesian estimation method, using two different priors (Inverse Chi-Square and Jeffrey) such as (standard Bayes estimator, and Bayes estimator based on Jeffrey's prior). Comparisons among these methods were made by employing mean square error measure. Simulation technique for different sample sizes has been used to compare between these methods. | ||
| Keywords | ||
| Maxwell; Boltzmann Distribution; Maximum Likelihood method; Moment Method; Standard Bayes method; Standard Bayes by Jeffrey; Mean square error; Simulation technique | ||
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