Articles | Volume 371
https://doi.org/10.5194/piahs-371-65-2015
https://doi.org/10.5194/piahs-371-65-2015
12 Jun 2015
 | 12 Jun 2015

Comparison of nonstationary generalized logistic models based on Monte Carlo simulation

S. Kim, W. Nam, H. Ahn, T. Kim, and J.-H. Heo

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Latest update: 01 Apr 2025
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Short summary
This study proposed the nonstationary generalized logistic model including time-dependent parameters. The parameters of proposed model are estimated using the method of maximum likelihood based on the Newton-Raphson method. In addition, the proposed model is compared by Monte Carlo simulation to investigate the characteristics of models and applicability.
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