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Best under-sampling technique by Geometric Mean

Sharp bounds for the arithmetic geometric mean

Sharp bounds for the arithmetic geometric mean

... with the best possible parameters β  = / and α  = /π . Other inequalities involving AGM can be found in the literature [–]. The aim of this paper is to establish the new inequality chains for the ratio of ...

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Efficient Multi-modal Geometric Mean Metric Learning

Efficient Multi-modal Geometric Mean Metric Learning

... learning. Under such circumstance, multiple kernel techniques, which map the data to high-dimensional feature spaces with a set of nonlinear kernel matri- ces, have been introduced to address these issues [7, 23, ...

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Comparative Study of the use of Arithmetic Mean and Geometric Mean for Data Aggregation in FMEA Analysis

Comparative Study of the use of Arithmetic Mean and Geometric Mean for Data Aggregation in FMEA Analysis

... VIKOR technique is an MCDM tool which select a compromise solution using an index based on a measure of closeness to the positive ideal solution (Opricovic and Tzeng, ...VIKOR technique in addressing ...

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Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty

Geometric Tools, Sampling Strategies, Bayesian Inverse Problems And Design Under Uncertainty

... system under large ...a sampling problem, the use of ad- vanced sampling schemes associated with a hierarchical approach using approximate models enables an efficient identification of design values; ...

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Use of Double Sampling Scheme in Estimating the Mean of Stratified Population under Non-response

Use of Double Sampling Scheme in Estimating the Mean of Stratified Population under Non-response

... a technique of sub-sampling of non-respondents in order to adjust the non-response in mail ...population mean using known coefficients of some population parameters in simple random ...for mean ...

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Characterization of Mean and Turbulent Flow over Complex Topography under various Inflow and Geometric Configurations

Characterization of Mean and Turbulent Flow over Complex Topography under various Inflow and Geometric Configurations

... structure was conducted using Proper Orthogonal Decomposition (POD) technique. Parameters varied in this study included Reynolds number, upstream roughness, shape of the inflow shear profile and the curvature of ...

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Clustering signed networks with the geometric mean of Laplacians

Clustering signed networks with the geometric mean of Laplacians

... hold under different ...the geometric mean Laplacian is superior to the other signed ...the geometric mean Laplacian significantly outperforms any other previously proposed ...

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An importance sampling technique in Monte Carlo methods for SDEs with a.s. stable and mean-square unstable equilibrium

An importance sampling technique in Monte Carlo methods for SDEs with a.s. stable and mean-square unstable equilibrium

... and mean-square stability for linear SDEs and the Monte Carlo method for estimating the second moment of the solution ...asymptotically mean-square unstable, the latter property is determined by rarely ...

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Estimation of Population Mean on Recent Occasion under Non-Response in h-Occasion Successive Sampling

Estimation of Population Mean on Recent Occasion under Non-Response in h-Occasion Successive Sampling

... successive sampling is more prone to this problem because of its repetitive ...sub sampling of non-respondents to address the problems of non-response in mail ...this technique for the case when ...

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Estimation of population mean in two– stage sampling under a deterministic response mechanism in the presence of non-response

Estimation of population mean in two– stage sampling under a deterministic response mechanism in the presence of non-response

... population mean in the presence of non-response under two-stage ...estimators under two non-response models have been devel- oped by using Hansen and Hurwitz (1946) ...

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Two Sharp Inequalities for Power Mean, Geometric Mean, and Harmonic Mean

Two Sharp Inequalities for Power Mean, Geometric Mean, and Harmonic Mean

... the geometric mean and harmonic mean of a and b, ...distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, ...

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A FAMILY OF ESTIMATORS FOR ESTIMATING POPULATION MEAN IN STRATIFIED SAMPLING UNDER NON-RESPONSE

A FAMILY OF ESTIMATORS FOR ESTIMATING POPULATION MEAN IN STRATIFIED SAMPLING UNDER NON-RESPONSE

... population mean using known value of some population parameters in simple random ...random sampling adapting the family of estimators proposed by Khoshnevisan et ...

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 GEOMETRIC MEAN FOR NEGATIVE AND ZERO VALUES

GEOMETRIC MEAN FOR NEGATIVE AND ZERO VALUES

... A geometric mean tends to dampen the effect of very high values where it is a log-transformation of ...the geometric mean for data that includes negative and zero values are ...one ...

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Applications of Arithmetic Geometric Mean Inequality

Applications of Arithmetic Geometric Mean Inequality

... arithmetic-geometric mean inequality for singular values, due to Bhatia and Kittaneh, is one of the most important singular value in- equalities for compact ...arithmetic-geometric mean ...

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Geometric Inequalities and Bounded Mean Oscillation

Geometric Inequalities and Bounded Mean Oscillation

... the mean oscillation of the absolute value of a function in BMO, the constant 2 in the implied norm inequality - a statement of the boundedness of the map f 7→ |f | - is not ...

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Research Article Two Sharp Inequalities for Power Mean, Geometric Mean, and Harmonic Mean

Research Article Two Sharp Inequalities for Power Mean, Geometric Mean, and Harmonic Mean

... the geometric mean and harmonic mean of a and b, ...distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, ...

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Some Estimators for the Population Mean Using Auxiliary Information Under Ranked Set Sampling

Some Estimators for the Population Mean Using Auxiliary Information Under Ranked Set Sampling

... Auxiliary information is used along with ranking information to derive several classes of estimators to estimate the population mean of a variable of interest based on RSS (ranked set sample). The properties of ...

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Some Estimators for the Population Mean Using Auxiliary Information Under Ranked Set Sampling

Some Estimators for the Population Mean Using Auxiliary Information Under Ranked Set Sampling

... population mean based on the sample mean of a simple random sample ...set sampling (RSS) can be used when the measurement of sample units drawn from a population of interest is very laborious or ...

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Optimal Power Mean Bounds for the Weighted Geometric Mean of Classical Means

Optimal Power Mean Bounds for the Weighted Geometric Mean of Classical Means

... distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly ...power mean of order p of ...

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WISE Sampling Distribution of the Mean Tutorial

WISE Sampling Distribution of the Mean Tutorial

... A friend of yours developed a scale to measure Life Satisfaction. For the population of American adults the scale has a normal distribution with a mean of 500 and a standard deviation of 100. She plans to measure ...

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