Statistical Properties and Different Methods of Estimation of Transmuted Rayleigh Distribution

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Autor principal: Sanku Dey
Formato: Artículo científico
Lenguaje:en
Publicado: Universidad Nacional de Colombia 2017
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author Sanku Dey
author_facet Sanku Dey
contents Statistical Properties and Different Methods of Estimation of Transmuted Rayleigh Distribution Sanku Dey Enayetur Raheem Saikat Mukherjee Física, Astronomía y Matemáticas tion Order Statistics Parameter Estima Rate Risk Function Rayleigh Distribution This article addresses various properties and different methods of esti- mation of the unknown Transmuted Rayleigh (TR) distribution parameters from a frequentist point of view. Although our main focus is on estima- tion, various mathematical and statistical properties of the TR distribution (such as quantiles, moments, moment generating function, conditional mo- ments, hazard rate, mean residual lifetime, mean past lifetime, mean devi- ation about mean and median, the stochastic ordering, various entropies, stress-strength parameter, and order statistics) are derived. We briefly de- scribe different methods of estimation such as maximum likelihood, method of moments, percentile based estimation, least squares, method of maximum product of spacings, method of Cramér-von-Mises, methods of Anderson- Darling and right-tail Anderson-Darling, and compare them using extensive simulations studies. Finally, the potentiality of the model is studied using two real data sets. Bias, standard error of the estimates, and bootstrap per- centile confidence intervals are obtained by bootstrap resampling. 2017 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89949526010 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.40
format Artículo científico
id redalyc_89949526010
institution Redalyc
language en
publishDate 2017
publisher Universidad Nacional de Colombia
spellingShingle Statistical Properties and Different Methods of Estimation of Transmuted Rayleigh Distribution
Sanku Dey
Física, Astronomía y Matemáticas
tion
Order Statistics
Parameter Estima
Rate Risk Function
Rayleigh Distribution
Statistical Properties and Different Methods of Estimation of Transmuted Rayleigh Distribution Sanku Dey Enayetur Raheem Saikat Mukherjee Física, Astronomía y Matemáticas tion Order Statistics Parameter Estima Rate Risk Function Rayleigh Distribution This article addresses various properties and different methods of esti- mation of the unknown Transmuted Rayleigh (TR) distribution parameters from a frequentist point of view. Although our main focus is on estima- tion, various mathematical and statistical properties of the TR distribution (such as quantiles, moments, moment generating function, conditional mo- ments, hazard rate, mean residual lifetime, mean past lifetime, mean devi- ation about mean and median, the stochastic ordering, various entropies, stress-strength parameter, and order statistics) are derived. We briefly de- scribe different methods of estimation such as maximum likelihood, method of moments, percentile based estimation, least squares, method of maximum product of spacings, method of Cramér-von-Mises, methods of Anderson- Darling and right-tail Anderson-Darling, and compare them using extensive simulations studies. Finally, the potentiality of the model is studied using two real data sets. Bias, standard error of the estimates, and bootstrap per- centile confidence intervals are obtained by bootstrap resampling. 2017 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89949526010 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.40
title Statistical Properties and Different Methods of Estimation of Transmuted Rayleigh Distribution
topic Física, Astronomía y Matemáticas
tion
Order Statistics
Parameter Estima
Rate Risk Function
Rayleigh Distribution
url https://www.redalyc.org/articulo.oa?id=89949526010