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| Titel: |
Parameter Estimation Methods for Discrete Exponential Learning Curves |
| Auteur: |
Buck, James R. Tanchoco, Jose M. A. Sweet, Arnold L. |
| Verschenen in: |
IIE transactions |
| Paginering: | Jaargang 8 (1976) nr. 2 pagina's 184-194 |
| Jaar: |
1976-06-01 |
| Inhoud: |
A discrete exponential model has been proposed for use as a learning curve. This model describes different learning behavior than the classical or a modified version of the power-form model and it provides some practical advantages. Tests for selection between the models are given. Methods of parameter estimation for the exponential model based on least-squared errors, maximum likelihood and mean likelihood criteria are shown for individual cycle time data. Estimation methods are also given for data on the number of completed cycles during a fixed time interval. Monte Carlo simulation experiments were conducted to test the past description and future forecast quality of this model using these estimation methods. The classical power-form model was also included in these experiments. Estimation precision is described for both models. Other features of the exponential model are shown in contrast to the power-form models. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 17 van 18 gevonden artikelen
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