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 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