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mean square errors

Mean square error optimal weighting for multitaper cepstrum estimation

Mean square error optimal weighting for multitaper cepstrum estimation

... the mean square errors of the log-spectrum, ...resulting mean square errors, ξ ev , using the proposed weighting fac- tors of Figures 4 and 5 and the sinusoidal tapers (N = 256), ...

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Estimation of Population Ratio in Post Stratified Sampling Using  Variable Transformation

Estimation of Population Ratio in Post Stratified Sampling Using Variable Transformation

... =     ∑ (2.40) where f = n N is the population sampling fraction. By taking unconditional expectations of (2.17) and (2.18), and using (2.38)-(2.40) to make the necessary substitutions, we obtain the unconditional ...

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Novel Ensemble Approaches To Model Macroscopic Material Behavior Using Micromechanical Simulations

Novel Ensemble Approaches To Model Macroscopic Material Behavior Using Micromechanical Simulations

... Root Mean Square ...Root Mean Square Error Value. It has high Root Mean Square Error value compare with ...Root Mean Square Error. It has very lowest Mean ...

5

The information content of the cash flow statement : an empirical investigation

The information content of the cash flow statement : an empirical investigation

... Table 5-8: Results of Tests on the Relative Information Content of 105 Total Operating, Investing and Financing Cash Flows.. Table 5-9: Comparison of Mean Square Errors 111.[r] ...

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Estimation and inference in mixed fixed and random coefficient panel data models

Estimation and inference in mixed fixed and random coefficient panel data models

... standard errors and may affect the power performances of the GLS ...root mean square errors of the estimates of the random coefficient ...standard errors have lower bias, leading to ...

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Online Full Text

Online Full Text

... root mean square errors (RMSEs) which are obtained from nonlinear time series signals prediction systems of five inputs four outputs using BPN and ...the mean value of the minimum average ...

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Prediction of TiN film coating characteristics using fuzzy logic techniques

Prediction of TiN film coating characteristics using fuzzy logic techniques

... xiii 4.9 Roots Mean Square Errors for the TiN Coating Thickness After Modified Fuzzy 42 4.10 Comparison of standard and modified Fuzzy Model 42 5.1 Statistic and Correlation of the TiN c[r] ...

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Ensemble lagged forecasts of a monsoon depression over India using a mesoscale model

Ensemble lagged forecasts of a monsoon depression over India using a mesoscale model

... root mean square errors (RMSE) of the ensemble average of sea level pressure field for both experiments with respect to the NCEP reanalysis data was obtained at different times and is shown in Table ...

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Progress towards a probabilistic Earth system model: examining the impact of stochasticity in the atmosphere and land component of EC-Earth v3.2

Progress towards a probabilistic Earth system model: examining the impact of stochasticity in the atmosphere and land component of EC-Earth v3.2

... strong and widens too far polewards with ISPPT and LAND. This latter point is likely related to changes in evaporation: while the spatial changes are targeting model biases, leading to a reduced MSE, the overall ...

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Vol 7, No 9 (2016)

Vol 7, No 9 (2016)

... a mean square sum labeling is called a mean square sum ...of mean square sum labeling was introduced by ...the mean square sum labeling of several standard graphs ...

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Comparative Study of Adaptive Filter Algorithm of a QO-STBC Encoded MIMO CDMA System

Comparative Study of Adaptive Filter Algorithm of a QO-STBC Encoded MIMO CDMA System

... In this study MATLAB-SIMULINK based QO-STBC encoded MIMO CDMA system for LMS, NLMS and RLS adaptive filter algorithms are compared on the basis of convergence speed and root mean square error (RMSE). It has ...

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Accelerating Kohn–Sham response theory using density fitting and the auxiliary density matrix method

Accelerating Kohn–Sham response theory using density fitting and the auxiliary density matrix method

... statistics, mean errors, standard deviations and maximum absolute errors, compared to aug-pcseg- 4 reference calculations for three types of calculations: full, df-J and ...

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EFFECT OF CORRELATED GENE DISTRIBUTION DUE TO SAMPLING ON THE DIALLEL ANALYSIS

EFFECT OF CORRELATED GENE DISTRIBUTION DUE TO SAMPLING ON THE DIALLEL ANALYSIS

... where E ( M ) is the expectation of the mean square and f, the degrees of freedom on which the mean square is based. In calculating the standard deviation, the mean of a[r] ...

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Mean Square Cordial Labeling of Some Snake Graphs

Mean Square Cordial Labeling of Some Snake Graphs

... on mean square cordial ...of mean square cordial and they have investigated the same for some special graphs in [5,6,7] Dhanalakshmi et al explored some ideas on mean square ...

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The contraction-proximal point algorithm with square-summable errors

The contraction-proximal point algorithm with square-summable errors

... Solodov, MV, Svaiter, BF: Forcing strong convergence of proximal point iterations in a Hilbert space. Wang, F: A note on the regularized proximal point algorithm[r] ...

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Climatology of daily rainfall semi variance in The Netherlands

Climatology of daily rainfall semi variance in The Netherlands

... Data from 33 automatic KNMI stations between 1 Jan- uary 1979 and 15 February 2009 were considered for this study (top panel Fig. 1). They offer a good way to eval- uate larger scale variation of rainfall. Their ...

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Denoising ECG Signal using Adaptive Filter Al...

Denoising ECG Signal using Adaptive Filter Al...

... (Least Mean Square), NLMS (Normalized Mean Square), and RLS (Recursive Least ...Normalized mean square error was calculated and our MATLAB simulation results suggest that RLS ...

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SECRET DATA HIDING BY OPTIMIZING GENERAL SMOOTHNESS DIFFERENCE EXPANSION BASED 
METHOD

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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The Design and Implementation of Notch Filter Based on Least Mean Square

The Design and Implementation of Notch Filter Based on Least Mean Square

... Single frequency or narrowband noise is a common interference in data acquisition and analysis system. For example, in power frequency environment, 50Hz interference signal often affects the normal operation of the ...

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Super Mean Labeling and Square Difference Labeling of Some Graphs

Super Mean Labeling and Square Difference Labeling of Some Graphs

... [5] Sandhya.S.S ,Somasundaram.S , Anusa.S, “Root Square Mean Labeling of Some New Disconnected Graphs” International Journal of Mathematics Trends and Technology, volume 15, number 2, 2014.page no:85-92. ...

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