least-square estimation method
Estimation of Location (μ) and Scale (λ) for Two Parameter Half Logistic Pareto Distribution (HLPD) by Least Square Regression Method
... the estimation of Location (µ) and Scale (λ) parameters using two step least square estimation ...Mean Square Error (MSE), Simulated Error (SE) and Relative Absolute Bias (RAB) for both ...
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Effectiveness of Business Innovation and R&D in Emerging Economies: The Evidence from Panel Data Analysis
... classical least square and generalized least square method revealed strong variation of the impact of various categories of innovative expenditure taken under consideration in the ...
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An analysis of landuse and landcover in Tiruchirappalli district using least square method
... by Least Square estimation ...the method of least squares to create the econometric model to calculate the anthropized area using the covariates like population density, size of the ...
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Parameter Estimation of an Inhomogeneous Medium by Scattered Electromagnetic Fields Using Nonlinear Optics and Wavelets
... as well as limited number of frequencies is done. It has been studied that the solution is not unique for practical problems, and uniqueness of the integrating field is overcome by measuring large number of samples of the ...
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A Method for Assessing Customer Harmonic Emission Level Based on the Iterative Algorithm for Least Square Estimation
... This method was simple to use, easy to the development of ...fluctuations method [5,6], the linear regression method [8,9] and the reference impedance method ...tions method and linear ...
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Identification of heat exchanger qad model BDT 921 based on hammerstein wiener model
... parameter estimation is determined by linear least square method and this model will be resulted by m-file MATLAB ...mean square error (MSE) and percentage of model f it (%MF) for both ...
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IJCSMC, Vol. 5, Issue. 7, July 2016, pg.467 – 471 A Study on Exploration of Service Discovery in Adhoc Network
... indoor communication by tracking the nodes and reducing the energy consumption. Author providing the solution of Service jam and provided the effective Service modulation. Author applied the estimation using ...
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Improved least mean square algorithm with application to adaptive sparse channel estimation
... ance with three SNR regimes: {5, 10, 20 dB}. All of the step sizes and regularization parameters are listed in Table 1. It is worth noting that the (N)LMS-based algorithms can exploit more accurate sparse channel ...
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Power System Frequency Estimation using Least Mean Square Filter based Algorithm
... frequency estimation. For the power system frequency estimation the least square method is the simplest ...this least square algorithm by minimizing the squared error ...
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COMPARISON OF LEAST MEDIAN SQUARE AND ORDINARY LEAST SQUARE METHODS IN THE PRESENCE OF OUTLIERS
... ordinary least squares (OLS) method, due to the simplicity of the idea of minimizing the sum of squared residuals and the interpretability of the final model parameter ...some estimation methods, ...
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DFT - based channel estimation for OFDM system and comparison with LS and MMSE over Rayleigh and Rician fading channel
... channel Estimation approach with two conventional channel estimation technique Least Square (LS) and Minimum Mean Square Error ...MMSE estimation shows better performance than ...
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Regeneration of simple and complicated curves using Fourier series
... series method can be used among others like least square or latent Root Regression methods to do the extraction and the estimation of the suitable featured data needed for the reconstruction ...
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Comment on 'A novel method for fast and robust estimation of fluorescence decay dynamics using constrained least-square deconvolution with Laguerre expansion'
... lifetime estimation method, Poisson noise should be applied and the only way to improve the SNR is to increase the photon count (or lengthen the acquisition ...
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Mathematical Approaches with Least Square Method Suitability in Circularity
... Least square approximation is the mathematical procedure for finding the best-fitting curve to a given set of points by minimizing the sum of the squares of the offsets ("the residuals") of the ...
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Burr XII Fréchet Distribution: Properties, Bayesian and Classical Estimation
... The estimation of the parameters is carried out by considering the different method of ...proposed estimation methods are studied by Monte Carlo ...weighted least square method ...
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Pilot based Channel Estimation of OFDM aided with KGMO Algorithm
... Abstract: Now a days there is a huge demand for wireless communications. To accommodate huge number of users new methods are required. Orthogonal Frequency Division Multiplexing (OFDM) is one of the promising technology ...
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Improved GPS Single Point Positioning Using Weighted Least Square Method
... This chapter is briefly explained the GPS constellation and the basic concept for single point positioning. Then, the degradation of GPS signal that caused by the source of errors in signal propagation from space segment ...
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Least Orthogonal Distance Estimator and Total Least Square
... Least Orthogonal Distance Estimator and Total Least Square Naccarato, Alessia and Zurlo, Davide and Pieraccini, Luciano Department of Economics - Roma Tre University.[r] ...
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Automatic Sex Identification Based on Convolution Neural Network and Least Square Method
... identification method based on Convolution Neural Network and Least Square ...the Least Square Method to weight the probability values of sample ...This method abandons ...
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Optimal Design of FIR Filter Using Weighted Least Square Error Method
... a method for design of FIR Filters is proposed. The design method is based on Weighted Least Square (WLS) ...Quasi-Newton method is ...traditional method of optimization ...
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