mean squared error
Convex vs Non-Convex Estimators for Regression and Sparse Estimation: the Mean Squared Error Properties of ARD and GLasso
... with n while γ should be set equal to zero to optimize the mean squared error. However, for finite data length n, the optimal mean squared error properties as a function of γ are ...
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Improved generalized family of estimators of population mean using information on transformed auxiliary variables
... population mean Y of the study variable y using information on transformed auxiliary ...and mean squared error (MSE) of the suggested classes of estimators to the first degree of ...minimum ...
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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 ...
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Variable marginal propensities to pirate and the diffusion of computer software
... the mean squared error for our model with the word processor data is the same as the restricted model, whereas it is much lower with the spreadsheet ...
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Improve the Active Subspace Method by Partitioning the Parameter Space
... the squared error as a crite- ...lower mean squared error on separately generated test points) than the response surface created by the original active subspace ...
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Test LOT Quality Assurance Sampling Method in Estimating Communes with Improved Latrine in Vietnam
... In this study, we will simulate different ways of select households according to the LC- LQAS method, and examine the accuracy of these ways to measure the percentage of communes having the sanitation coverage of 70%. We ...
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Investigation of the Performance of different Spatial Filters toward Mammogram De-noising
... namely Mean, Median, Wiener and Gaussian filters were employed and the processed images were evaluated for Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR) and Correlation ...
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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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Rates of convergence of some estimators in a class of deconvolution problems
... Key Words and Phrases: Deconvolution, density estimation, mean squared error, measurement error, rates of convergence, uniform convergence.. 1 Work supported by NSF Grant DMS-86-13681A[r] ...
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Antenna arrays in multi user detection of spread spectrum signals
... minimum mean-squared error due to MAI, show how the frame error rate increases with the number of users, and suggest a new multi-user detection procedure using an antenna array at the ...
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Fault Classification with Artificial Neural Networks based on the Application of Teager Energy Operator
... In [3] current signals are used as input parameters in ANN training using Back Propagation algorithm for diagnosis of the fault in a distributed motor network. Different number of nodes where tested in network structure ...
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A comparison of robust estimators in simple linear regression
... The bias and mean squared error (MSE) of the various estimators of slope, intercept, and mean response were estimated and compared in a simulation study.. All computing was done in Fortr[r] ...
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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 mean width ...
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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, ...
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Choosing the group size for group testing to estimate a proportion
... The group size obtained by equating the absolute value of the influence of a group showing the trait with one not showing the trait provides an estimate with a smaller mean squared error[r] ...
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A POMDP Framework for Coordinated Guidance of Autonomous UAVs for Multitarget Tracking
... This paper discusses the application of the theory of partially observable Markov decision processes (POMDPs) to the design of guidance algorithms for controlling the motion of unmanned aerial vehicles (UAVs) with ...
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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 ...
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Adaptive digital predistortion linearisation for RF power amplifiers
... Development of linear modulation schemes has opened the way for spectrally efficient, high speed digital communication systems for voice and data applications. A trend has been to develop utra wide and wide bandwidth ...
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Density and Risk Function of the Circular Kernel Study
... This article is subdivided into six parts: The first part is devoted to the development of the different notions studied in the density and risk functions. The second part deals with the estimation of kernel density ...
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A NEW MODIFIED RATIO ESTIMATOR FOR ESTIMATION OF POPULATION MEAN WHEN MEDIAN OF THE AUXILIARY VARIABLE IS KNOWN
... population mean of the study variable when the population median of the auxiliary variable is ...and mean squared error of the proposed estimator are derived and are compared with that of ...
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