A new flexible extension of the Inverse Weibull distribution is proposed and studied. The new density can be “right skewed”, “left skewed” and “unimodal” with various shapes, the new failure rate function can be a “decreasing” or “upside down” or “increasing” shaped. Some of its statistical properties are derived. The importance of the new distribution is shown via three applications to real data sets. The new distribution is better fit than many important competitive models based on three real data sets.

中文翻译：

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逆威布尔模型的推广：属性和应用

提出并研究了逆威布尔分布的一种新的灵活扩展。新的密度可以是“右偏”、“左偏”和“单峰”的各种形状，新的失效率函数可以是“递减”或“倒置”或“递增”的形状。它的一些统计特性是推导出来的。新分布的重要性通过三个对真实数据集的应用来展示。新分布比基于三个真实数据集的许多重要竞争模型更适合。