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However, IRI model produced better estimates of TEC than NeQuick at all locations.
The residual and correlation plots strongly suggested that among the non linear models studied the log logistic model produced better fit to the data than the Weibull model.
As per our assessment, FR model produced better results compared to MCDA.
According to the table and all indicators, the proposed model produced better results than the regression equations.
Leveraging the best of a command-and-control model with the most of a collaborative model produced better outcomes than before.
However, the predictive model produced better results than did analyzing each variable separately.
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The experimental results show that the proposed model produces better forecasting results than several existing models.
Results from the study show that the Reg-SARIMA GARCH model pReg-SARIMA GARCHorecast accuracy with a modelabsolute produceserror (MAPE) of 1.42%.
Indeed, followers of Steve Jobs posthumously regarded as not only brilliant but also wise would argue that Apple's integrated model produces better products—even if it may yield fewer of them, less total innovation, fewer opportunities for new entrants, and less freedom for consumers.
Experiments involving chaotic Mackey Glass time series and real-world time series demonstrate that the proposed model produces better long-term forecasting than some existing numeric models such as Autoregressive (AR) models, nonlinear autoregressive (NAR) neural networks, Support Vector Regression (SVR) and fuzzy inference systems involving triangular and interval information granules.
The seasonal and global models were then compared to determine which model produces better forecasts.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com