文章基本信息

标题：Stochastic Logistic Model for Fish Growth
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作者：Md. Asaduzzaman Shah
期刊名称：Open Journal of Statistics
印刷版ISSN：2161-718X
电子版ISSN：2161-7198
出版年度：2014
卷号：04
期号：01
页码：11-18
DOI：10.4236/ojs.2014.41002
语种：English
出版社：Scientific Research Publishing
摘要：Two extensions of stochastic logistic model for fish growth have been examined. The basic features of a logistic growth rate are deeply influenced by the carrying capacity of the system and the changes are periodical with time. Introduction of a new parameter , enlarges the scope of investing the growthof different fish species. For rapid growth lying between 1 and 2 and for slowly growing.
关键词：Carrying Capacity; Non-Linearity; Multiplicative Fluctuations; White Noise; Fokker-Planck Equation; Periodic Phenomena; Erlang Distribution