1996
DOI: 10.1080/03610929608831702
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Modified maximum likelihood estimation for rayleigh distribution

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Cited by 46 publications
(30 citation statements)
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“…We used the computer program distfit from the Theseus package (Theobald and Wuttke, 2006) to test 20 different distributions and selected the Rayleigh distribution as the most appropriate according to the Bayesian information criterion. The Rayleigh distribution (Lalitha and Mishra, 1996) is characterized by a single parameter, λ which indicates the maximum (mode) of the distribution: R(x;λ)=xλ2ex2/2λ2.…”
Section: Methodsmentioning
confidence: 99%
“…We used the computer program distfit from the Theseus package (Theobald and Wuttke, 2006) to test 20 different distributions and selected the Rayleigh distribution as the most appropriate according to the Bayesian information criterion. The Rayleigh distribution (Lalitha and Mishra, 1996) is characterized by a single parameter, λ which indicates the maximum (mode) of the distribution: R(x;λ)=xλ2ex2/2λ2.…”
Section: Methodsmentioning
confidence: 99%
“…Likewise, the distribution of wave heights and crests might be Rayleigh (Tayfuna and Fedeleb 2007). Other aspects of this model are treated in Sinha and Howlader (1983);Howlader (1985); Aminzadeh (1991); Lalitha and Mishra (1996); Fernández (2000); Aslam (2007); Dey and Das (2007) and Liang (2007).…”
Section: Rayleigh Distribution: Applications and Likelihoodmentioning
confidence: 98%
“…Iwase & Kanefuji [16] studied the modified maximum likelihood estimators and modified moment estimators for the Log-normal distribution with shifted unknown origin. Lalitha & Mishra [17] suggested the modified maximum-likelihood estimation for scale-parameter of the Rayleigh distribution. Modifications in maximum likelihood estimation and method moments have also been found better than traditional estimators for two-parameter Exponential distribution [18].…”
Section: Maximum Likelihood Estimation Is Considered As Most Importanmentioning
confidence: 99%