square error
Estimation under a Finite Mixture of Exponentiated Exponential Components Model and Balanced Square Error Loss
... on square error loss function and objective prior, are used to obtain estimators based on balanced square error loss function for the parameters, survival and hazard rate functions of a ...
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Mean square error optimal weighting for multitaper cepstrum estimation
... mean square error optimal for cepstrum coefficient ...mean square error are made of some known multitaper methods as well as with the parametric autoregressive estimator for simulated speech ...
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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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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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Development of a Computer Aided System for Swine Flu Prediction using Computional Intelligence
... This section covers the cross authentication between existing and proposed techniques. Some familiar algorithms parameters have been chosen to show that the performance of the proposed algorithm is superior to the ...
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Process improvement to the anodize line through design of experiments
... Analysis of Variance 18 ANOVA of Freedom Degrees Sum of Squares Model, Error, Total Model, Error, Total Model Mean Square Error Mean Square F Ratio Prob>F "The analysis of variance obser[r] ...
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IJCSMC, Vol. 5, Issue. 7, July 2016, pg.467 – 471 A Study on Exploration of Service Discovery in Adhoc Network
... Least Square (LS) and MMSE (Minimum Mean Square Error) ...with error identification and its structural observation to identify the Service ...
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Improvement of the Preliminary Test Estimator When Stochastic Restrictions are Available in Linear Regression Model
... When different estimators are available for the same parameter vector in the linear regression model one must solve the problem of their comparison. Usually as a simultaneous measure of covariance and bias, the mean ...
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SECRET DATA HIDING BY OPTIMIZING GENERAL SMOOTHNESS DIFFERENCE EXPANSION BASED METHOD
... In the recent years, the crude oil is one of the most important commodities worldwide. This paper discusses the prediction of crude oil using artificial neural networks techniques. The research data used in this study is ...
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Wavelet based Image Denoising using Weighted Highpass Filtering Coefficient and Exposure based Sub-Image Histogram Equalization Enhancement Technique
... Mean Square Error (MSE), Root Mean Square Error (RMSE) and Peak Signal to Noise Ratio (PSNR) used as a performance parameters which degree the feature of an ...
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Evaluation of growth stage specific crop coefficients of maize using weighing lysimeter
... mean square error to the standard deviation of measured data (RSR), the root mean square error (RMSE) itself, and the coefficient of determination (R 2 ) values indicated that the Kc performed ...
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Sentiment Analysis of Social Media Text Data using Back Propagation in Artificial Neural Networks
... It can be concluded from the mathematical background and subsequent results that the proposed system yields high accuracy for text mining data. The data used here are in the form of tweets. The training algorithm used is ...
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A De Noising Method for Track State Detection Signal Based on EMD
... A De-Noising Method on EMD under Consecutive Mean Square Error Criterion The thought of a de-noising method on EMD under consecutive mean square error criterion is [14] [15], the first d[r] ...
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A robust and forward-Looking industrial production indicator
... Table 2: Forecast Accuracy Statistics Manufacturing Mining & Quarrying Electricity IIP Percentage Root Mean Square Error PRSME 4.353 4.473 3.533 3.600 Root Mean Square Percentage Error R[r] ...
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An Efficient Algorithm to Design Nearly Perfect-Reconstruction Two-Channel Quadrature Mirror Filter Banks
... pass-band error and stop-band residual energy of low-pass prototype filter, and the square error of the distortion transfer function of the QMF bank at the quadrature ...Reconstruction Error ...
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IJCSMC, Vol. 6, Issue. 1, January 2017, pg.23 – 29 An Efficient Hybrid Approach for Secure Speech Cryptography
... 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 the ...
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Performance and Analysis of Channel Estimation Techniques for LTE Downlink System under Fading with Mobility
... Least Square Error (LSE) and the Linear Minimum Mean Square Error (LMMSE) using QPSK and 16 QAM modulation techniques are studied and also studied the effect of channel length on the ...
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Modelling and PSO Fine-tuned PID Control of Quadrotor UAV
... sum square error, sum absolute error; sum absolute error + sum square error, mean absolute error + sum square error, and mean absolute error + sum ...
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Robustness of Bootstrap Estimators to Influential Observations
... ABSTRACT: The existence of outliers in the original sample may create problem to the classical bootstrapping estimates. There is possibility that the bootstrap samples may contain more outliers than the original dataset ...
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Index Terms path loss model, path loss exponent, least
... Least Square tuning ...mean square error, , standard deviation of error and relative ...overall error analysis, it is observed that, the performance of the tuned model is the best, ...
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