Abstract
This paper derives a new family of Burr-type distributions as new Burr distribution. This particular skewed distribution that can be used quite effectively in analyzing lifetime data. It is observed that the new distribution has modified unimodal hazard function. Various properties of the new Burr distribution, such that moments, quantile functions, hazard function, and Shannon’s entropy are obtained. The exact form of the probability density function and moments of ith -order statistics in a sample of size n from new Burr distribution are derived. Estimation of parameters and change-point of hazard function by the maximum likelihood method are discussed. Change-point of hazard function is usually of great interest in medical or industrial applications. The flexibility of the new model is illustrated with an application to a real data set. In addition, a goodness-of-fit test statistic based on the Rényi Kullback–Leibler information is used.
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CITATION STYLE
Yari, G., & Tondpour, Z. (2017). The new Burr distribution and its application. Mathematical Sciences, 11(1), 47–54. https://doi.org/10.1007/s40096-016-0203-z
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