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has been cited by the following article:

• TITLE: Stochastic Logistic Model for Fish Growth

  AUTHORS: Md. Asaduzzaman Shah

  KEYWORDS: Carrying Capacity; Non-Linearity; Multiplicative Fluctuations; White Noise; Fokker-Planck Equation; Periodic Phenomena; Erlang Distribution

  JOURNAL NAME: Open Journal of Statistics, Vol.4 No.1, January 27, 2014

  ABSTRACT: 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.