Author(s)

Lamin Kabareh^1*, Thomas Mageto²

¹Pan African University Institute for Basic Sciences, Technology and Innovation (PAUSTI), Nairobi, Kenya.
²Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.

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.

Logistic Model, Estimation, Bounded Population, Carrying Capacity, Sample Frame, Empirical Study and Outliers

Kabareh, L. and Mageto, T. (2017) Estimation of Bounded Populations and Carrying Capacity with the Logistic Model. Open Journal of Statistics, 7, 936-943. doi: 10.4236/ojs.2017.76065.