TITLE:
Estimation of Bounded Populations and Carrying Capacity with the Logistic Model
AUTHORS:
Lamin Kabareh, Thomas Mageto
KEYWORDS:
Logistic Model, Estimation, Bounded Population, Carrying Capacity, Sample Frame, Empirical Study and Outliers
JOURNAL NAME:
Open Journal of Statistics,
Vol.7 No.6,
December
1,
2017
ABSTRACT: Estimation of bounded populations and carrying
capacity in the presence of a sample frame is considered. Models based on
Logistic model are proposed. Like the existing estimators, this estimation
technique deals with initial condition and is based on yearly population totals
in order to fit in a model within a given period of time in this study. The
proposed Logistic model technique has shown to be efficient especially with
large data. The empirical study indicated that the Logistic model is efficient
and can estimate properly even in the presence of outliers.