2017
DOI: 10.14419/ijasp.v5i1.7513
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The beta compound Rayleigh distribution : Properties and applications

Abstract: In this paper, we introduce a new four parameter continuous model, called the beta compound Rayleigh (BCR) distribution that extends the compound Rayleigh distribution. Basic properties of the proposed distribution such as; mean, variance, coefficient of variation, raw and incomplete moments, skewness, kurtosis, moment and probability generating functions, reliability analysis, Lorenz, Bonferroni and Zenga curves, Rényi of entropy, order statistics and record statistics are investigated. We obtain the maximum … Show more

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Cited by 1 publication
(3 citation statements)
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“…The numerical values of these measures for the TIHL BX and the other competing distributions of the first data are provided in Table 3 and for the second data set in Table 4. The competing distributions includes the beta BurrX (BBX) by [17], beta compound Rayleigh (BCR) [25], transmuted generalized Rayleigh (TGR) [15], Weibull Rayleigh (WR) [16], exponentiated generalized inverse Weibull (EGIW) [9], generalized half-logistic Poisson (GHLP) [20], half-logistic Poisson (HLP) [22], Kumaraswamy Exponentiated Inverse Rayleigh (KwEIR) [2], Transmuted Rayleigh (TR) [14], generalized BurrXII Poisson (GBXIIP) [18], type I half-logistic Frechet (TIHL-Fr) [6], complimentary exponentiated BurrXII Poisson (CEBXIIP) [21], Burr-XII (BXII) and Burr-X (BX) (or generalized Rayleigh (GR)) by [5] and Rayleigh (R) distributions.…”
Section: Applicationsmentioning
confidence: 99%
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“…The numerical values of these measures for the TIHL BX and the other competing distributions of the first data are provided in Table 3 and for the second data set in Table 4. The competing distributions includes the beta BurrX (BBX) by [17], beta compound Rayleigh (BCR) [25], transmuted generalized Rayleigh (TGR) [15], Weibull Rayleigh (WR) [16], exponentiated generalized inverse Weibull (EGIW) [9], generalized half-logistic Poisson (GHLP) [20], half-logistic Poisson (HLP) [22], Kumaraswamy Exponentiated Inverse Rayleigh (KwEIR) [2], Transmuted Rayleigh (TR) [14], generalized BurrXII Poisson (GBXIIP) [18], type I half-logistic Frechet (TIHL-Fr) [6], complimentary exponentiated BurrXII Poisson (CEBXIIP) [21], Burr-XII (BXII) and Burr-X (BX) (or generalized Rayleigh (GR)) by [5] and Rayleigh (R) distributions.…”
Section: Applicationsmentioning
confidence: 99%
“…The first data set consists of 63 observations of the strengths of 1.5 cm glass fibers obtained by workers at the UK National Physical Laboratory. [17,25,26].…”
Section: Applicationsmentioning
confidence: 99%
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