error of the mean
Motion Object Detection Using Mean Square Error Method
... Abstract :- Smart CCTV (Closed-Circuit Television) technology has increasingly been developed in the last few years to judge the situation and notify the administer or take immediate action for security and surveillance ...
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RMSE (Root Mean Square Error), respectively.
... In this research, we are interest in time series analysis with the most popular method, that is, the Box and Jenkins method [3]. The result model of this method is quite accurate compared to other methods and can be ...
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Mean square error optimal weighting for multitaper cepstrum estimation
... is mean square error optimal for cepstrum coefficient ...cepstrum mean square error are made of some known multitaper methods as well as with the parametric autoregressive estimator for ...
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Estimating a Bounded Normal Mean Relative to Squared Error Loss Function
... mean X , is the maximum likelihood estimator which under squared error loss function is minimax and admissible estimator. In many practical situations, is known in advance to lie in an interval, say [ m ...
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Best possible inequalities for the harmonic mean of error function
... It is well known that the error function erfx is odd, strictly increasing on –∞, +∞ with limx→+∞ erfx = , strictly concave and strictly log-concave on [, +∞.. In particular, many remar[r] ...
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A Comparative Performance Analysis of Classification Algorithms Using Weka Tool Of Data Mining Techniques
... After analyzing the results of testing the algorithms we can say that every techniques perform best result according to their parameters means if we take accuracy than decision tree is best but if we use mean ...
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An Approach to Identify a Model for Efficient Prediction of Exchange Rates Using Setty Volatile Index (SVI)
... root mean square error, mean absolute percentage error, average mean absolute percentage error over US-RUPEE dataset in case of long term prediction problem that online RBF ...
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IJCSMC, Vol. 6, Issue. 1, January 2017, pg.23 – 29 An Efficient Hybrid Approach for Secure Speech Cryptography
... of mean square error and peak signal to noise ratio parameters in case of RSA, DES and Hybridization algorithms concludes that The mean square error is less in case of Hybrid algorithm than ...
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“MODELING AND FORECASTING OF THE STOCK MARKET VOLATILITY OF S&P CNX NIFTY 50 INDEX OF INDIA USING GARCH FAMILY MODELS”
... Root Mean Squared Error (RMSE), the Mean Absolute Error (MAE), the Mean Absolute Percent Error (MAPE) and the Theil Inequality Coefficient ...the error measurements is ...
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The Implementation of Forecasting Method by Incorporating Human Judgment
... forecasting error that gives some impacts to inventory (occurring overstock and stock ...the error value when the forecaster decides the size of demand for the next ...
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Analyzing Cervical Cancer by using an Ensemble Learning Approach based on Meta Classifier
... of error rate such as MALE, RMSLE, MAE and RMSE. These performance of error rate can be defined as follows: —Root Mean Squared Logarithmic Error ...
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The Synthesis of Human-Error Analysis Using the Cognitive Reliability and Error Analysis Method and Fault-Tree Analysis
... Human errors represent 6090% of all system failures. Over the past 40 years the ratio of accidents caused by human factors to all accidents has steadily increased. This does not mean that people are less careful, ...
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Comparative Analysis of the Efficiencies on Methods of Handling Multicollinearity in Regression Analysis
... , Mean Square Error and Root Mean Error, as the statistics criteria, revealed that the result obtained from the Ridge Regression gave the outstanding performance as compared with the other two ...
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Forecasting Spare Parts Demand Using Statistical Analysis
... tools; Mean squared error (MSE), mean absolute deviation (MAD) and mean error (ME), where the results showed close performance for all the methods associated with their optimal ...
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Analyzing and Forecasting Admission data using Time Series Model
... In previous studies on the comparison of stock prices using the ARIMA model and the Artificial Neural Network (ANN) model, the level of Root Mean Square Error (RMSE) for ARIMA model was smaller than using ...
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Influence of the prediction error of the first eye undergoing cataract surgery on the refractive outcome of the fellow eye
... In our retrospective trial, we included 670 eyes of 335 con- secutive patients (mean age, 75 years; range, 38–96 years) who underwent bilateral, sequential cataract surgery in the outpatient clinic in Trier. ...
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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 Squared Error (RRSE) ...
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Approximate Least Squares Accelerator
... (error mean), EP (error predictability) and ER (error ...an error in some computation, with EM=0, EP=0.1, ER=1, which would mean that the computation output can have deviations ...
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SECRET DATA HIDING BY OPTIMIZING GENERAL SMOOTHNESS DIFFERENCE EXPANSION BASED METHOD
... like Mean Square Error, Mean Absolute Error, Sum Square Error and Root Mean Square Error are used to access the ...
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Volume 3, Issue 3, March 2014 Page 365
... forecast error which is the difference between the actual value and forecast value for the corresponding ...are Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), ...
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