Reliability Characteristics of the Maxwell Distribution: A Bayes Estimation Study
By Andriëtte Bekker, J. Roux. 2005
71 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/262caaad3d819cc7c2ec02e33a79721121475dc7
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Citations in the corpus
- A new lifetime model: the Kumaraswamy generalized Rayleigh distribution (2014, unknown): “For α = 1 2 and θ = (2λ2)−1, it reduces to the Maxwell distribution [10].”
- Reliability estimation in Maxwell distribution with progressively Type-II censored data (2012, methodology): “Bekker and Roux [8] studied empirical Bayes estimation for the Maxwell distribution.”
- The Kumaraswamy generalized gamma distribution with application in survival analysis (2011, background): “If ϕ = λ = 1 in addition to α = √ θ , τ = 2 and k = 3 / 2 , it reduces to the Maxwell ( Ma ) distribution ( see , for example , Bekker and Roux , 2005 ) .”
- Estimation procedures for Maxwell distribution under type-I progressive hybrid censoring scheme (2015, methodology): “[6] Bekker A, Roux JJ. Reliability characteristics of the Maxwell distribution: a Bayes estimation study.”
- The exponentiated generalized gamma distribution with application to lifetime data (2011, unknown): “If λ = 1, in addition to α = √θ , β = 2 and k = 3/2, it reduces to the Maxwell (Ma) distribution [18].”
- On the generalized process capability under simple and mixture models (2014, background): “Earlier, Bekker and Roux [3], Krishna and Malik [21,22], Dey and Maiti [8], Kazmi et al.”