Homeostasis and Gauss statistics: barriers to understanding natural variability

被引:19
|
作者
West, Bruce J. [1 ]
机构
[1] USA, Res Off, Informat Sci Directorate, Res Triangle Pk, NC 27709 USA
关键词
Gauss; homeostasis; non-linear dynamics; Pareto; statistics;
D O I
10.1111/j.1365-2753.2010.01459.x
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Rationale In this paper, the concept of knowledge is argued to be the top of a three-tiered system of science. Aims and objectives The first tier is that of measurement and data, followed by information consisting of the patterns within the data, and ending with theory that interprets the patterns and yields knowledge. Thus, when a scientific theory ceases to be consistent with the database the knowledge based on that theory must be re-examined and potentially modified. Results Consequently, all knowledge, like glory, is transient. Methods Herein we focus on the non-normal statistics of physiologic time series and conclude that the empirical inverse power-law statistics and long-time correlations are inconsistent with the theoretical notion of homeostasis. Conclusions We suggest replacing the notion of homeostasis with that of Fractal Physiology.
引用
收藏
页码:403 / 408
页数:6
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