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.