نتایج جستجو برای: weighted average least square

تعداد نتایج: 923849  

Journal: :CoRR 2016
Hadi Zayyani Mehdi Korki

This letter presents an improved version of diffusion least mean ppower (LMP) algorithm for distributed estimation. Instead of sum of mean square errors, a weighted sum of mean square error is defined as the cost function for global and local cost functions of a network of sensors. The weight coefficients are updated by a simple steepest-descent recursion to minimize the error signal of the glo...

Journal: :Communications in Statistics - Simulation and Computation 2012
J. Martin van Zyl Robert Schall

Least squares regression based on probability plots, also called rank regression, can be used to estimate the parameters of some distributions. Regression is performed between a function of the empirical distribution function and the order statistic as the independent variable. Using large sample properties of the empirical distribution function and order statistics, weights to stabilize the va...

1998
Michael E. Kuhl Halim Damerdji James R. Wilson

We formulate and evaluate weighted and ordinary least squares procedures for estimating the parametric rate function of a nonhomogeneous Poisson process. Special emphasis is given to processes having an exponential rate function, where the exponent may include a polynomial component or some trigonometric components or both. Theoretical and experimental evidence is provided to explain some surpr...

2014
Jingwei Song Jiaying He Menghua Zhu Debao Tan Yu Zhang Song Ye Dingtao Shen Pengfei Zou

A simulated annealing (SA) based variable weighted forecast model is proposed to combine and weigh local chaotic model, artificial neural network (ANN), and partial least square support vector machine (PLS-SVM) to build a more accurate forecast model. The hybrid model was built and multistep ahead prediction ability was tested based on daily MSW generation data from Seattle, Washington, the Uni...

2017
Liyan Xu Fabing Duan Xiao Gao Derek Abbott Mark D McDonnell

Suprathreshold stochastic resonance (SSR) is a distinct form of stochastic resonance, which occurs in multilevel parallel threshold arrays with no requirements on signal strength. In the generic SSR model, an optimal weighted decoding scheme shows its superiority in minimizing the mean square error (MSE). In this study, we extend the proposed optimal weighted decoding scheme to more general inp...

2007
Vladimir Katkovnik Alessandro Foi Karen O. Egiazarian

Localized or windowed data denoising based on linear transforms equipped with some thresholding operator is a usual approach in modern signal and image processing. With overlapping windows, techniques of this kind can be interpreted as overcomplete (redundant) data transforms (representations). In the simplest formulation, the Þnal estimates for points belonging to multiple overlapping windows ...

2007
Wai-Ki Ching Kwai-Wa Cheng Li-Min Li Nam-Kiu Tsing Alice S. Wong

Missing values often exist in the data of gene expression microarray experiments. A number of methods such as the Row Average (RA) method, KNNimpute algorithm and SVDimpute algorithm have been proposed to estimate the missing values. Recently, Kim et al. proposed a Local Least Squares Imputation (LLSI) method for estimating the missing values. In this paper, we propose a Weighted Local Least Sq...

2003
Goutam Dutta Sankarshan Basu Krishnamurthy Vaidyanathan

With increasing liquidity of the Indian sovereign debt market since 1997, it has become possible to estimate the term structure in India. However, the market is characterised by several frictions that cause individual securities to be priced differently from the 'average' pricing in the market. In such a scenario, traditional estimation procedures like ordinary least squares using various funct...

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