Results 251 to 260 of about 224,256 (277)

Evaluation and comparison of oral endotracheal tube depth prediction formulas in children with scoliosis: a retrospective study. [PDF]

Front Pediatr
Zhang Y, Gao P, Zheng Q, Zhu B.
europepmc   +1 more source

MEAN ABSOLUTE PERCENTAGE ERROR (MAPE)

, 2000
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Mean absolute percentage error and bias in economic forecasting

Economics Letters, 2011
Abstract This article develops a simple theoretical framework to show how forecasters may bias downward point predictions under the assumption that the asymmetric loss function is directly related to the (Mean) Absolute Percentage Error (M)APE.
Jordi Mckenzie
openaire   +3 more sources

Modelling DGM(1,1) under the Criterion of the Minimization of Mean Absolute Percentage Error

2009 Second International Symposium on Knowledge Acquisition and Modeling, 2009
In this paper, we present linear programming method in order to estimate the parameters of the DGM(1,1) model under the criterion of the minimization of mean absolute percentage error (MAPE) (some authors called average relative error). A published article is chosen for practical tests of this method, the results show that this method can obviously ...
Lifeng Wu, Yinao Wang
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Modelling GM(1,1) under the Criterion of the Minimization of Mean Absolute Percentage Error

Advanced Materials Research, 2012
In this paper, we present two methods to estimate the parameters of the GM (1,1)model under. The criterion of the minimization of mean absolute percentage error (MAPE) (some authors called Average relative error).A linear programming method is used to optimize the whiting value of grey derivative of GM(1,1),four published articles are chosen for ...
Hai Jun Chen, Xi Juan Lou, Jie Liu
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Applicability of the Revised Mean Absolute Percentage Errors (MAPE) Approach to Some Popular Normal and Non-normal Independent Time Series

International Advances in Economic Research, 2009
Commonly used Mean Absolute Percentage Errors (MAPE) and the authors’ revised Mean Absolute Percentage Errors (RMAPE) are applied to measure the forecasting accuracy from different Moving Average Methods for independent time series. Simulation results show that both MAPE and RMAPE can only provide sensitive forecasting accuracy measurements on Moving ...
Louie Ren, Yong Glasure
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MEAN ABSOLUTE PERCENTAGE ERROR (MAPE)

, 2011
openaire   +2 more sources

A new metric of absolute percentage error for intermittent demand forecasts

International Journal of Forecasting, 2016
The mean absolute percentage error (MAPE) is one of the most widely used measures of forecast accuracy, due to its advantages of scale-independency and interpretability.
Sungil Kim, Heeyoung Kim
exaly   +2 more sources