IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v26y1977i2p143-148.html
   My bibliography  Save this article

Comparison of the Logistic and the Gompertz Growth Functions Considering Additive and Multiplicative Error Terms

Author

Listed:
  • S. Vieira
  • R. Hoffmann

Abstract

Both the logistic growth function and the Gompertz growth function are used to describe growth processes. In this paper it is argued that, although the logistic has been more studied, the Gompertz growth function may better meet the features of some growth processes. In order to make possible the comparison between both growth functions when an additive error is assumed, a method of fitting the Gompertz growth function under homoscedasticity is described herein. Two numerical examples and a brief discussion of the results are also provided.

Suggested Citation

  • S. Vieira & R. Hoffmann, 1977. "Comparison of the Logistic and the Gompertz Growth Functions Considering Additive and Multiplicative Error Terms," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 26(2), pages 143-148, June.
    • Handle: RePEc:bla:jorssc:v:26:y:1977:i:2:p:143-148
    DOI: 10.2307/2347021
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2347021
    Download Restriction: no
    File URL: https://libkey.io/10.2307/2347021?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Stefano Maria IACUS & Giuseppe PORRO, 2012. "The evolution of regional unemployment in the EU. An analysis via the Gompertz diffusion process," Departmental Working Papers 2012-17, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    2. Andreas Marcus Gohs, 2022. "Forecasting Market Diffusion of Innovative Battery-Electric and Conventional Vehicles in Germany under Model Uncertainty," MAGKS Papers on Economics 202209, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    3. Ware, Aidan & Power, Niamh, 2017. "Modelling methane production kinetics of complex poultry slaughterhouse wastes using sigmoidal growth functions," Renewable Energy, Elsevier, vol. 104(C), pages 50-59.
    4. Satoh, Daisuke, 2021. "Discrete Gompertz equation and model selection between Gompertz and logistic models," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1192-1211.
    5. Meneses-Quelal, W.O. & Velázquez-Martí, B. & Gaibor-Chávez, J. & Niño-Ruiz, Z., 2021. "Biochemical potential of methane (BMP) of camelid waste and the Andean region agricultural crops," Renewable Energy, Elsevier, vol. 168(C), pages 406-415.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jorssc:v:26:y:1977:i:2:p:143-148. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.