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Size-biased distributions in the generalized beta distribution family, with applications to forestry

机译:广义Beta分布族中大小偏向的分布,应用于林业

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摘要

Size-biased distributions arise in many forestry applications, as well as other environmental, econometric, and biomedical sampling problems. We examine the size-biased versions of the generalized beta of the first kind, generalized beta of the second kind and generalized gamma distributions. These distributions include, as special cases, the Dagum (Burr Type III), Singh-Maddala (Burr Type XII) and Fisk distributions as well as better-studied distributions such as the Weibull, lognormal, beta (of the first and second kind), gamma and exponential. Our results indicate that specification and estimation of the size-biased forms of these distributions can be viewed within a unified framework. This should facilitate broader application of size-biased distributions in forestry sampling, modeling and analysis.
机译:在许多林业应用中,以及其他环境,计量经济学和生物医学采样问题中,都出现了尺寸偏差的分布。我们研究了第一种广义beta的大小偏倚版本,第二种广义beta的广义偏和伽马分布。作为特殊情况,这些分布包括Dagum(III型伯尔),Singh-Maddala(XII型伯尔)和Fisk分布,以及研究更好的分布,例如Weibull,对数正态,β(第一类和第二类) ,伽玛和指数。我们的结果表明,可以在一个统一的框架内查看这些分布的大小偏倚形式的规范和估计。这应有助于在林业抽样,建模和分析中更广泛地应用基于大小的分布。

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