Grönholm Tiia, Annila Arto
Department of Physical Sciences, Institute of Biotechnology, FI-00014, University of Helsinki, Finland.
Math Biosci. 2007 Dec;210(2):659-67. doi: 10.1016/j.mbs.2007.07.004. Epub 2007 Aug 6.
Log-normal distributions describe data from diverse disciplines of science. However, the fundamental basis of log-normal distributions is unknown. We suggest that the skewed distributions are outcomes of natural processes i.e. they result from the principle of increasing entropy. Fluctuations during the course of evolution toward more probable states yield multiplicative variations about the mean. The non-linear dispersion of thermodynamic states, i.e. matter and energy defined by chemical potentials, underlies the skew. Cumulative curves of skewed distributions without integrable analytical forms are characteristic of natural processes.
对数正态分布描述了来自不同科学学科的数据。然而,对数正态分布的基本基础尚不清楚。我们认为,偏态分布是自然过程的结果,即它们是由熵增加原理导致的。在向更可能状态演化的过程中的波动产生了围绕均值的乘法变化。热力学状态的非线性分散,即由化学势定义的物质和能量,是偏态的基础。没有可积分析形式的偏态分布的累积曲线是自然过程的特征。