Abstract：
A new regression model is presented which offers flexibility, freedom from subjective determinations of linear range, and very wide applicability to measurement systems of industrial importance. This \"progressive decay\" model starts as a deceptively simple ordinary differential equation. We show here that its solution faithfully describes real but seemingly unconnected data from a plate-based assay for quantitation of RNA with RiboGreen® and dissolution data for a triple fixed-dose combination solid oral dosage form.
摘要：
提出了一种新的回归模型，该模型提供了灵活性，不受线性范围的主观确定，和非常广泛的工业重要性的测量系统的适用性。这个“渐进衰减”模型从一个看似简单的常微分方程开始。我们在这里表明，它的解决方案忠实地描述了来自基于平板的测定的真实但看似不相关的数据，用于使用RiboGreen®定量RNA，以及三重固定剂量组合固体口服剂型的溶出数据。
