root mean squared error
An Empirical Study on Mushroom Disease Diagnosis:A Data Mining Approach
... of error rate ...of error rates namely Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Relative Absolute Error (RAE), Root Relative ...
6
“MODELING AND FORECASTING OF THE STOCK MARKET VOLATILITY OF S&P CNX NIFTY 50 INDEX OF INDIA USING GARCH FAMILY MODELS”
... the Root Mean Squared Error (RMSE), the Mean Absolute Error (MAE), the Mean Absolute Percent Error (MAPE) and the Theil Inequality Coefficient ...the error ...
13
Two-stage estimation to adjust for treatment switching in randomised trials: A simulation study investigating the use of inverse probability weighting instead of re-censoring
... the mean estimated RMST and the true RMST and expressing this as a percentage of true RMST ...The root mean squared error (RMSE) of the percentage bias was calculated to provide ...
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ANN Based Modeling for Prediction of Evaporation in Reservoirs (RESEARCH NOTE)
... and root mean squared error (RMSE) by using cross-validation to generate the model on different combinations of the input data set in predicting the evaporation ...
8
The Relation between Storm Risk and Wind and Wave Forecast Accuracy in the North Atlantic Ocean
... Abstract—Oceanic storms are the main reason for shipping delays in the North Atlantic Ocean, due to the uncertainty in the forecast of tropical cyclones and extra tropical winter storms. This work investigates the ...
8
Hyperspectral Nonlinear Unmixing: Endmember Extracting Using Iterative Simplex CNN Method
... Abstract— Hyperspectral remote sensing images are showing rapid improvements in many domain such as weather, land cover classification, underwater species identification, exploring the space etc. Over the past decades ...
6
Blind Direction of Angle and Time Delay Estimation Algorithm for Uniform Linear Array Employing Multi-Invariance MUSIC
... cumulant method requires the signal statistical properties, and it needs larger snapshots to get good performance. Also it has heavier computation load. ESPRIT is a closed-form eigen structure-based parameter estimation ...
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Bayesian forecasting of mortality rates by using latent Gaussian models
... the mean width of the prediction intervals and the mean interval ...the mean forecasts was assessed by using the root-mean-squared error of the predicted ...The ...
23
Soil Thermal Diffusivity of a Gleyic Solonetz Soil Estimated by Different Methods in the Brazilian Pantanal
... Using the soil thermal diffusivity estimated by ampli- tude method as reference was computed mean absolute error-MAE and the root mean squared error-RMSE be- tween phase methods, ...
8
Analyzing Cervical Cancer by using an Ensemble Learning Approach based on Meta Classifier
... Logarithmic Error), RM- SLE (Root Mean Squared Logarithmic Error), MAE (Mean Abso- lute Error) and RMSE (Root Mean Squared ...different error ...
5
A Multi Layer Perceptron Classifier for Content based Recommender System
... The Root mean squared error, Mean absolute error, Relative absolute error and Root relative squared errors were identified for correct ...
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Transferring urban traveling speed model fits across cities
... y − ˆ y(p | q) s (or y − ˆ y (p | q) s mxsp s ) with s = 1 (bias) and s = 2 (root mean squared error), respectively. Again, the reported numbers are means and standard deviations over M = 50 ...
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Improved Felicm based Underwater Color Image Segmentation by using L0 Gradient Minimization and DBPTGMF
... Figure 4 has shown the quantized analysis of the Root mean squared Error of different underwater images using existing method and the proposed method.. It is very clear from the plot tha[r] ...
6
A New Method for Least-Squares and Minimax Group-Delay Error Design of Allpass Variable Fractional-Delay Digital Filters
... of root-mean- squared group-delay ...phase-oriented error, and only [23] focuses on the minimization of root-mean-squared group- delay error by converting a ...
10
Assessing the forecasting power of the leading composite index in Macedonia
... the root mean squared forecasting error is the smallest at a width of the growth rate of one quarter and a time distribution of the explanatory power of the index of two ...
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Estimating a Bounded Normal Mean Relative to Squared Error Loss Function
... takes values in the interval [ m , m ], where is the unique root of eq. (2). This property can be seen from Theorem 2. It is worth mentioning that the risk of X is the constant 1 / n but the risk ...
10
A NEW MODIFIED RATIO ESTIMATOR FOR ESTIMATION OF POPULATION MEAN WHEN MEDIAN OF THE AUXILIARY VARIABLE IS KNOWN
... The biases, the mean squared errors and the constants of the remaining 10 modified ratio estimators ̅̂ ̅̂ listed in the Table 1.1 are classified into a single class (say, Class 2), which will be very much ...
9
The design of an in-vehicle assistance system to support eco-driving
... The Van Der Laan Acceptability Scale was less effective for discriminating between the three types of eco-driving system, with no significant difference between systems on either the Usefulness or Satisfaction subscales. ...
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Better constraints on the sea-ice state using global sea-ice data assimilation
... months of May and December. The variability of the model and observation errors during May 2005 and 2006 and during December 2005 are very large. This is due to the presence of several observation days presenting very ...
15
A study of artificial speech quality assessors of VoIP calls subject to limited bursty packet losses
... Basically, rather than the packet loss pattern itself, theoretical and representative models that capture the relevant features of packet loss processes are used for the estimation of the perceived quality for efficiency ...
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