نتایج جستجو برای: mean square deviation from regression

تعداد نتایج: 6051891  

Journal: :Clinical & experimental optometry 2017
Carles Otero Meritxell Vilaseca Montserrat Arjona Joan A Martínez-Roda Jaume Pujol

BACKGROUND The aim was to assess the agreement in the measurement of ocular aberrations between a new Adaptive Optics Vision Analyzer (AOVA, Voptica, Murcia, Spain) and a commercial aberrometer (KR-1 W, Topcon, Tokyo, Japan), both based on the Hartmann-Shack technique. METHODS One experienced examiner measured 29 healthy right eyes nine consecutive times with the two instruments. The individu...

Journal: :Signal Processing 2012
Badong Chen Songlin Zhao Pingping Zhu José Carlos Príncipe

In this paper, we study the mean square convergence of the kernel least mean square (KLMS). The fundamental energy conservation relation has been established in feature space. Starting from the energy conservation relation, we carry out the mean square convergence analysis and obtain several important theoretical results, including an upper bound on step size that guarantees the mean square con...

2004

Understanding the methods used by economists requires some basic terminology regarding the distribution of random variables. The mean of a distribution is simply the arithmetic average of all of the observations. The median is the observation that falls in the middle; half of the observations have values below the median and half are above. Both the mean and the median are measures of the cente...

This paper proposes the least-squares support vector machine (LS-SVM) as an intelligent method applied on absorption spectra for the simultaneous determination of paracetamol (PCT), caffeine (CAF) and ibuprofen (IB) in Novafen. The signal to noise ratio (S/N) increased. Also, In the LS - SVM model, Kernel parameter (σ2) and capacity factor (C) were optimized. Excellent prediction was shown usin...

2015
Benjamin Bouvier Christine Cézard Pascal Sonnet

To ascertain the stability of the β-barrel structure of the FpvA transporter in water, we measured the root mean square deviation (RMSD) of the barrel backbone to the experimental structure during the 50 ns production simulations of apo-FpvA, FpvA/PVDI and FpvA/PVD G173 , after fitting to the barrel α carbons to remove rigid-body rotation and translation (Figure S1). The small average mean squa...

Journal: :Journal of chemical information and modeling 2006
Surjit B. Dixit Sergei Y. Ponomarev David L. Beveridge

The comparison and detection of the commonalities and differences in multiple structural ensembles is an important step in the use of molecular simulations to gain insight into the conformation and dynamics of complex biomacromolecules. While the average structure is often employed as the representative of an ensemble of structures in such comparisons, dynamic molecular systems with multiple co...

Journal: :تولید گیاهان زراعی 0

drought stress is one of the most important factors limiting the productivity of crop plants around the world. genotype-by environment (g×e) interactions are common under drought and make breeding progress difficult. for this reason twenty genotypes of bread wheat were evaluated in a randomized complete block design with 3 replications at 2 locations (stress and non-stress environments) in two ...

Journal: :Signal Processing 2016
Yi Yu Haiquan Zhao Badong Chen

Recently, the sign subband adaptive filter (SSAF) algorithm has obtained great attention, due to its robustness against impulsive noises and decorrelating property for correlated input signals. However, the performance of the algorithm in the steady-state is not analyzed. In this paper, we study the steady-state mean-square-deviation (MSD) behavior of the SSAF algorithm by using energy conserva...

Journal: :IEEE Trans. Acoustics, Speech, and Signal Processing 1988
Sasan Ardalan

Transversal Recursive Least Squares (RLS) algorithms estimate filter coefficients which minimize the accumulated sum of the square of the error residuals termed the error power. In this paper the sensitivity of this error power to random perturbations about the optimum filter coefficients is investigated. Expressions are derived for the mean and variance of the deviation from the optimum error ...

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