Methods of Estimating the Logistic Growth Function
Journal of the Royal Statistical Society Series C (Applied Statistics)Published 1 January 1964
F. R. Oliver
Citations84
SJR quartileQ2
SJR score0.65
SNIP0.78
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Abstract
The logistic growth function frequently arises in economic and biological problems, but is not easy to fit to observed data. Three methods of fitting it are described and compared with direct least‐squares. It is found that the simpler methods are highly unsatisfactory in a number of respects when applied to six illustrative time series. Some features of an electronic computer programme evolved for the direct least‐squares method are described.
Keywords
Computer ScienceEconomics, Econometrics and FinanceEnvironmental Science
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The present writer has advanced a method of calculating a and b, which are estimates of a and a respectively, presently called the "minimum logit X2 estimate," based on a minimization of the following quantity, called the 'logit X1'.
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