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2018•Journal of Statistics and Management SystemsRequires access

Comparison of the logistic and the Gompertz curve under different constraints

Mausumi Dhar, Paritosh Bhattacharya

Open publisher page 17 citations

Abstract

Both the logistic curve and the Gompertz curve are used to fit the data of growth processes. In this paper, a comparison between the Gompertz and the logistic curve has been performed to find out the more favorable curve in fitting the growth data. In order to do this, we have discussed how both the curves behave under different constraints and also have discussed about their points of inflection and growth rates.

About this research paper

What this paper is about

Both the logistic curve and the Gompertz curve are used to fit the data of growth processes. In this paper, a comparison between the Gompertz and the logistic curve has been performed to find out the more favorable curve in fitting the growth data. In order to do this, we have discussed how both the curves behave under different constraints and also have discussed about their points of inflection and growth rates.

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OpenAlex reports 17 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Both the logistic curve and the Gompertz curve are used to fit the data of growth processes. In this paper, a comparison between the Gompertz and the logistic curve has been performed to find out the more favorable curve in fitting the growth data. In order to do this, we have discussed how both the curves behave under different constraints and also have discussed about their points of inflection and growth rates.

Key concepts: Gompertz function, Inflection point, Growth curve (statistics), Logistic regression, Logistic function, Mathematics, Statistics, Curve fitting

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