用微分方程模型分析扩散

K. Ishii
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引用次数: 0

摘要

本文比较了具有代表性的扩散过程微分方程模型。这些模型是(1)简单logistic曲线,(2)调和logistic曲线,(3)指数logistic曲线,(4)修正指数曲线,(5)Gompertz曲线,(6)Bass模型。逻辑型模型((1)、(2)、(3))是基于对群体成员之间相互作用效果的假设。另一方面,修正指数曲线模型是基于外部信息源影响的假设。Bass的模型综合了扩散过程的这两个组成部分。这六个模型应用于耐用消费品、音乐记录和信息扩散的数据。结果表明,Bass的模型对大多数实际数据的预测比任何其他模型都要好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALYSIS OF DIFFUSION BY DIFFERENTIAL EQUATION MODELS
In this paper representative differential equation models for diffusion process are compared. These models are(1)simple logistic curve, (2)harmonic logistic curve, (3)exponential logistic curve, (4)modified exponential curve, (5)Gompertz curve, (6)Bass's model. Logistic-type models((1), (2), (3))are based on the assumption of the effects of the interactions among members in a group.On the other hand, modified exponential curve model is based on the assumption of the effects of the outside information source. Bass's model synthesizes these two components of diffusion process. The six models are applied to data on consumer durables, music records, and information diffusions. The results show that Bass's model yields the better predictions for most of actual data than any other model.
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