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An Extended Proportional Hazards-Proportional Odds Model in Accelerated Life Testing

机译:加速寿命测试中的扩展比例风险-比例赔率模型

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In accelerated life testing,statistics-based accelerated models can be divided into parametric models and non-parametric models.Non-parametric models are followed more closely because of the distribution free property.Proportional hazards model and proportional odds model are two widely used nonparametric models.However, the assumptions of these models arc not satisfied sometimes.Many generalized models arc presented based on these models to deal with the cases that the assumptions of these models are violated.One example is the proportional hazardsproportional odds modcl.It makes proportional hazards model and proportional odds model special cases of it through a transformation parameter.This paper extends the proportional hazards-proportional odds model to a more generalized model which reflects time scale changing effects and time varying coefficient effects.Simulations are processed to verify this model.
机译:在加速寿命测试中,基于统计的加速模型可以分为参数模型和非参数模型。由于无分布特性,非参数模型被更严格地遵循。比例风险模型和比例赔率模型是两种广泛使用的非参数模型然而,这些模型的假设有时无法满足。基于这些模型提出了许多通用模型,以处理违反这些模型的假设的情况。一个例子是比例风险比例风险比例模型,它使比例风险模型成为比例风险模型。本文将比例风险-比例赔率模型扩展到一个更通用的模型,该模型可以反映时标变化效应和时变系数效应。通过仿真处理对该模型进行了验证。

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