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Application of the generalized mean value function to the statistical detection of water in decane by near-infrared spectroscopyThe generalized mean value (GMV) function, defined as GN(p)=(ΔN(p))1/ p(where ΔN(p) is the absolute

Application of the generalized mean value function to the statistical detection of water in decane by near-infrared spectroscopyThe generalized mean value (GMV) function, defined as GN(p)=(ΔN(p))1/ p(where ΔN(p) is the absolute

The generalized mean value function approach: A new stastistical tool for the detection of weak signals in spectroscopy of moments and is based upon the definition of the correct fit to the generalized mean value (GMV) function

The statistics of the fractional moments: Is there any chance to "read quantitatively" any randomness? and predict possible future behavior of the random sequence analyzed. The generalized mean value (GMV)-function

The generalized mean value function approach: A new stastistical tool for the detection of weak signals in spectroscopy of moments and is based upon the definition of the correct fit to the generalized mean value (GMV) function

The statistics of the fractional moments: Is there any chance to "read quantitatively" any randomness? and predict possible future behavior of the random sequence analyzed. The generalized mean value (GMV)-function

GENERALIZATION OF MAJORIZATION THEOREM-II upper bounds and mean value theorems for obtained generalized identities. At the end, we explore some

GENERALIZED STEFFENSEN-TYPE INEQUALITIES BY ABEL-GONTSCHAROFF POLYNOMIAL, we present mean value theorems and n-exponential convexity for these functionals. We also give

MAJORIZATION INEQUALITIES VIA PEANO'S REPRESENTATION OF HERMITE'S POLYNOMIAL case. Cebysev functional is used to find the bounds for new generalized identities and to develop

A generalization of Cauchy-Bunyakovsky integral inequality via means with max and min values-Bunyakovsky integral inequality using abstract mean values. One special inequality of this type is considered

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