加速破坏性降解测试数据的非线性量值回归

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Suk Joo Bae, Munwon Lim
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引用次数: 0

摘要

加速破坏性降解试验 (ADDT) 数据的传统回归方法将平均曲线建模为代表性曲线。然而,平均值模式的最大似然估计值 (MLEs) 并不可靠。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Nonlinear Quantile Regression for Accelerated Destructive Degradation Testing Data
Traditional regression approaches to accelerated destructive degradation test (ADDT) data have modeled the mean curve as representative. However, maximum likelihood estimates (MLEs) of the mean mod...
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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