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Airline failure and distress prediction: a comparison of quantitative and qualitative models

机译:航空公司的故障和遇险预测:定量和定性模型的比较

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摘要

In this paper, an exploratory study of failure and distress prediction models is presented based on a qualitative survey among new-entrant airline managers and a quantitative data source containing financial and traffic data of new-entrant airlines. Using logistic regression, it became evident that qualitative vari- ables are a viable source for model construction. They contribute to a deeper understanding of the un- derlying distress and failure process. A number of significant predictor variables are discussed in the context of managing new-entrant airlines.
机译:在本文中,基于对新进航空公司经理的定性调查和包含新进航空公司财务和交通数据的定量数据源,对故障和遇险预测模型进行了探索性研究。使用逻辑回归,很明显,定性变量是模型构建的可行来源。它们有助于更深入地了解潜在的困扰和失败过程。在管理新进入的航空公司的背景下讨论了许多重要的预测变量。

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