A Novel Two-Parameter Compound G Family of Probability Distributions With Some Copulas, Statistical Properties and Applications

Mohamed K. A. Refaie, H. A. Mahran
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Abstract

In this work, we introduce a new G family with two-parameter called the compound reversed Rayleigh-G family. Several relevant mathematical and statistical properties are derived and analyzed. The new density can be heavy tail and right skewed with one peak, symmetric density, simple right skewed density with one peak, asymmetric right skewed with one peak and a heavy tail and right skewed with no peak. The new hazard function can be "upsidedown-constant", "constant", "increasing-constant", "revised J shape", "upside-down", "J shape" and "increasing". Many bivariate types have been also derived via di¤erent common copulas. The estimation of the model parameters is performed by maximum likelihood method. The usefulness and ‡exibility of the new family is illustrated by means of two real data sets.
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一类新的双参数复G族概率分布及其统计性质和应用
本文引入了一种新的双参数G族,称为化合物逆转瑞利-G族。推导并分析了几个相关的数学和统计性质。新密度可以是单峰重尾右偏密度、对称密度、单峰简单右偏密度、单峰非对称右偏密度、单峰重尾右偏密度和无峰重尾右偏密度。新的危害函数可以是“倒立常数”、“常数”、“递增常数”、“修正J型”、“倒立”、“J型”和“递增”。许多双变量类型也通过不同的公共联结得到。采用极大似然法对模型参数进行估计。通过两个真实数据集说明了新家庭的有用性和可移植性。
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