AbstractThe present work aims to study the stability of the following three functional equations: (i) f(pr,qs)+f(ps,qr)=f(p,q)f(r,s), (ii) f(pr,qs)+f(ps,qr)=f(p,q)g(r,s), and (iii) f(pr,qs)+f(ps,qr)=g(p,q)f(r,s) for all p,q,r,s∈(0,1). The first functional equation arises in the characterization of symmetrically compositive sum form distance measures
This short note gathers known results to state that the squared distance function to a (nonconvex) c...
In this paper we discuss the geometry of acceptability functionals or risk measures. The dependenceo...
AbstractIn this article, we present the most general solution of the functional equationsf(xy)+f((1−...
AbstractIn statistical estimation problems measures between probability distributions play significa...
AbstractWe study the stability problem for mappings satisfying the equation ‖f(x−y)‖=‖f(x)−f(y)‖. As...
Several functional equations related to stochastic distance measures have been widely studied when d...
In this paper, we obtain the superstability of the functional equation f(pr, qs) + g(ps, qr) = θ(pq...
summary:The upper bounds of the uniform distance $\rho \left(\sum ^\nu _{k=1}X_k,\sum ^\nu _{k=1}\ti...
In analysis, a distance function (also called a metric) on a set of points S is a function d:SxS->R ...
We introduce and discuss the concept of n-distance, a generalization to n elements of the classical ...
textWe generalize Mahler’s measure to create the class of multiplicative distance functions on C[x]...
A distance function for X is any nonnegative, rea1 valued function d: X x X ~ R such that d(x,y) = ...
For arbitrary two probability measures on real d-space with given means and variances (covariance ma...
In this paper, we give theoretical foundations for modeling distance functions on the usual Euclidea...
2 Shephard’s distance functions are widely used instruments for characterizing technology and for es...
This short note gathers known results to state that the squared distance function to a (nonconvex) c...
In this paper we discuss the geometry of acceptability functionals or risk measures. The dependenceo...
AbstractIn this article, we present the most general solution of the functional equationsf(xy)+f((1−...
AbstractIn statistical estimation problems measures between probability distributions play significa...
AbstractWe study the stability problem for mappings satisfying the equation ‖f(x−y)‖=‖f(x)−f(y)‖. As...
Several functional equations related to stochastic distance measures have been widely studied when d...
In this paper, we obtain the superstability of the functional equation f(pr, qs) + g(ps, qr) = θ(pq...
summary:The upper bounds of the uniform distance $\rho \left(\sum ^\nu _{k=1}X_k,\sum ^\nu _{k=1}\ti...
In analysis, a distance function (also called a metric) on a set of points S is a function d:SxS->R ...
We introduce and discuss the concept of n-distance, a generalization to n elements of the classical ...
textWe generalize Mahler’s measure to create the class of multiplicative distance functions on C[x]...
A distance function for X is any nonnegative, rea1 valued function d: X x X ~ R such that d(x,y) = ...
For arbitrary two probability measures on real d-space with given means and variances (covariance ma...
In this paper, we give theoretical foundations for modeling distance functions on the usual Euclidea...
2 Shephard’s distance functions are widely used instruments for characterizing technology and for es...
This short note gathers known results to state that the squared distance function to a (nonconvex) c...
In this paper we discuss the geometry of acceptability functionals or risk measures. The dependenceo...
AbstractIn this article, we present the most general solution of the functional equationsf(xy)+f((1−...