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Mean, The

Mean, Odd Mean And Even Mean Labeling For the Extended Duplicate Graph of Kite Graph

Mean, Odd Mean And Even Mean Labeling For the Extended Duplicate Graph of Kite Graph

... we mean a finite, undirected simple graph G = (V,E) with p vertices and q ...of mean labeling of ...odd mean labeling of a graph. The concept of even mean labeling was introduced and ...

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Comparisons and Characterizations of the Mean Variance, Mean VaR, Mean CVaR Models for Portfolio Selection With Background Risk

Comparisons and Characterizations of the Mean Variance, Mean VaR, Mean CVaR Models for Portfolio Selection With Background Risk

... Heaton and Lucas (2000), Viceira (2001), and others investigates the relation between labour income variations and investors’ portfolio decisions and confirms the relevance of labour income risk to asset allocations. ...

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Does No Mean "No" Mean Reasonable Doubt? Assessing the Impact of Ewanchuk on Determinations of Consent

Does No Mean "No" Mean Reasonable Doubt? Assessing the Impact of Ewanchuk on Determinations of Consent

... assault provisions in the Criminal Code to clarify the meaning of consent: An Act to Amend the Criminal Code (sexual assault), S.C. 1992, c. 38. For examples of how these provisions were applied, see: R. v. J.J., [1994] ...

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A Galerkin approximation scheme for the mean correction in a mean-reversion stochastic differential equation

A Galerkin approximation scheme for the mean correction in a mean-reversion stochastic differential equation

... of mean reversion type, the market efficiency is indeed characterised by the path independent property of certain utility function which can be expressed in terms of Girsanov transform density, see ...

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Bounds of the logarithmic mean

Bounds of the logarithmic mean

... We also give an improved upper bound of the logarithmic mean on Theorem . above, only for the Frobenius norm. Namely, we can prove the following inequalities in a similar way to the proof of Theorem ., by the ...

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On the Approximation of the Integral Mean Divergence and f-Divergence via Mean Results

On the Approximation of the Integral Mean Divergence and f-Divergence via Mean Results

... Integral Mean Divergence and the f−divergence due to Csisz´ ...Integral Mean Divergence is the Hermite-Hadamard divergence introduced by Shioya and ...

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The application of mean averaging kernels to mean trace gas distributions

The application of mean averaging kernels to mean trace gas distributions

... Steck, T. and von Clarmann, T.: Constrained profile retrieval applied to the observation mode of the Michelson Interferometer for Pas- sive Atmospheric Sounding, Appl. Optics, 40, 3559–3571, 2001. Stiller, G. P., von ...

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Optimal two parameter geometric and arithmetic mean bounds for the Sándor–Yang mean

Optimal two parameter geometric and arithmetic mean bounds for the Sándor–Yang mean

... Sándor–Yang mean in terms of certain families of the two-parameter geometric and arithmetic mean and the one-parameter geometric and harmonic ...Yang mean and the inverse tangent ...

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A Comparison Of Mean-Variance And Mean-Semivariance Optimisation On The JSE

A Comparison Of Mean-Variance And Mean-Semivariance Optimisation On The JSE

... The methodology employed relies heavily on the experiments previously conducted by Estrada (2007, 2008) and Cumova and Nawrocki (2011). Cumova and Nawrocki (2011) hypothesised that the effects of portfolio size on ...

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Optimal power mean bounds for the second Yang mean

Optimal power mean bounds for the second Yang mean

... logarithmic mean, identric mean, first Seiffert mean [], first Yang mean [], Toader mean [], Neuman-Sándor mean [, ], Sándor mean [], second Seif- fert mean [], ...

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Optimal generalized Heronian mean bounds for the logarithmic mean

Optimal generalized Heronian mean bounds for the logarithmic mean

... logarithmic mean has been : the subject of intensive ...logarithmic mean can be found in the literature ...logarithmic mean has applications in physics, economics, and even in meteorology ...

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Number Of Follicles At The Time Of Trigger And Mean Number Of Oocytes Retrieved: A Correlation Of Amh With Age, Mean Retrospective Study

Number Of Follicles At The Time Of Trigger And Mean Number Of Oocytes Retrieved: A Correlation Of Amh With Age, Mean Retrospective Study

... and mean number of follicles at the time of trigger were ...showed mean number of follicles at the time of trigger is 2.3 and mean number of oocytes retrieved is ...The mean number of ...

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Reverse arithmetic harmonic mean and mixed mean operator inequalities

Reverse arithmetic harmonic mean and mixed mean operator inequalities

... harmonic mean inequality, so we give an affirmative answer to this question in our ...mixed mean inequalities are also extremely ...A-G mean inequality for a finite number of strictly positive ...G-H ...

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Comparison of Arithmetic Mean, Geometric Mean and Harmonic Mean Derivative-Based Closed Newton Cotes Quadrature

Comparison of Arithmetic Mean, Geometric Mean and Harmonic Mean Derivative-Based Closed Newton Cotes Quadrature

... Mathematics, mean has several different definitions depending on the ...arithmetic mean, geometric mean and harmonic mean for any set of values AM > GM > ...

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Statistical Study of Least Mean Square and Normalised Least Mean Square Algorithms

Statistical Study of Least Mean Square and Normalised Least Mean Square Algorithms

... Least Mean Square(LMS)and the Normalized Least Mean Square(NLMS) algorithms with particular cyclostationary input signals and an unknown system in a system identifica- tion ...the mean and ...

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An updated version of a gap-free monthly mean zonal mean ozone database

An updated version of a gap-free monthly mean zonal mean ozone database

... There are several improvements that could be imple- mented when preparing the measurements and for the used homogenization method. In the current version (v1.0) of BSVertOzone, the global troposphere is only covered by ...

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Mean Hierarchical Distance Augmenting Mean Dependency Distance

Mean Hierarchical Distance Augmenting Mean Dependency Distance

... metrics, mean dependency distance (MDD), as first ex- plored by Liu (2008), and mean hierarchical dis- tance (MHD), as introduced and employed here for the first ...

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Convergence of Maxarithmetic Mean-Minarithmetic Mean Powers of Intuitionistic Fuzzy Matrices

Convergence of Maxarithmetic Mean-Minarithmetic Mean Powers of Intuitionistic Fuzzy Matrices

... Here we derive the procedure to get the power of an IFM under the maxarithmetic mean-minarithmetic mean operation using the graph theoretic concept. In this paper, we showed that the power of an IFM with ...

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