VINCENT, STEFANUS and Bisono, Indriati Njoto and Soewandi, Hanijanto (2024) Predicting IBE Webinar Registrants Using Linearization of Some Sigmoidal Functions. [UNSPECIFIED]
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Abstract
We present a novel approach to obtain parameters of some Sigmoidal functions such as: Stevens, Gompertz, Logistics, Weibull, Brody, von Bertalaffy, & Ontogenetic. This approach extends the approach relies on iterative process to find “maximum” R2 and the traditional Ordinary Least Square (OLS) that can be implemented very easily. We demonstrate the approach in predicting IBE Webinar registrants. We also provide a new modification for the stopping rule based on Taylor approximation that can make the algorithm more robust as well as stop faster with little impact to the prediction.
| Item Type: | UNSPECIFIED |
|---|---|
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management |
| Divisions: | Faculty of Industrial Technology > Industrial Engineering Department |
| Depositing User: | Admin |
| Date Deposited: | 07 May 2024 00:08 |
| Last Modified: | 03 Sep 2024 11:15 |
| URI: | https://repository.petra.ac.id/id/eprint/21048 |
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