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Exploration of some distributional properties, parameter estimates and applications of the wrapped quasi Lindley distribution

机译:包装Quasi Lindley分布的一些分布特性,参数估计和应用的探索

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摘要

A circular distribution called Wrapped Quasi Lindley distribution with two parameters has been recently proposed, but apart from the expressions for pdf, cdf, their circular representations, characteristic function and the maximum likelihood equations for the proposed distribution, no other properties of the distribution as well as the characteristics of the parameter estimates were explored by the authors. A slight error has also been observed in the expression for pdf of the distribution. Also, the application of the distribution in modeling real life data was not exhibited. Further, the form of the characteristic function in the paper is not compact and there is no closed form of the expression of the trigonometric moments. This paper thus aims to rectify the expression for pdf and explore a few descriptive measures and distributional properties of the Wrapped Quasi Lindley distribution and derive closed form expressions for the characteristic function and hence the trigonometric moments using an identity. it is found that the operations of wrapping and convoluting linear distributions around unit circle are commutative. The maximum likelihood estimates of the parameters of the distribution are shown to be consistent through a simulation study. The utility of the Wrapped Quasi Lindley model to a real-life data set on orientations is shown and the goodness-of-fit of the distribution is assessed and compared to that of the Wrapped Exponential and Wrapped Lindley distribution with the help of the log-likelihood, AIC and BIC measures. Further, the probabilities of the orientations to lie in a certain interval are estimated on the basis of the fitted Wrapped Quasi Lindley distribution. The distribution is found to be more appropriate in modeling the situations where the directions having lower magnitude have higher likelihood of occurrence.
机译:最近已经提出了一种称为包裹的准Lindley分布的圆形分布,但是已经提出了两个参数,但除了PDF,CDF,它们的圆形表示,特征功能和所提出的分布的最大似然方程的表达,也没有分布的其他性质由于作者探讨了参数估计的特征。在分布PDF的表达式中也已经观察到轻微的错误。此外,没有展示建模现实生活数据中的分布。此外,纸张中的特征功能的形式不紧凑,并且没有封闭的形式的三角矩的表达。因此,本文旨在纠正PDF的表达,并探讨包裹的准Lindley分布的一些描述性措施和分布特性,并为特征函数导出闭合形式表达,从而使用身份的三角矩。发现围绕单位圆圈的包装和卷绕线性分布的操作是换向的。显示分布参数的最大似然估计通过模拟研究表明是一致的。显示了包裹的准Lindley模型到真实寿命数据的实用性,并评估了分配的美好健康,并与包裹的指数和包裹的Lindley分布的帮助相比 - 可能性,AIC和BIC措施。此外,基于安装的包装的准林德利分布估计定向以某种间隔的定向的概率。发现分布在建模具有较低幅度的方向具有更高的发生的可能性时更适合。

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