Building on and extending the results of Gr, (J. Appl. Probab. 26, 296-303), approximation formulae for solutions of renewal-type equations are derived. These are obtained by finding the first and higher Fréchet derivatives of the functional that has the underlying lifetime density as input and a normalised version of the solution of the renewal-type equation as output. By approximating a density whose output is not known analytically by another density with easy ouput, we obtain explicit formulae for our approximations, which in many cases can be easily implemented on computer algebra software.Renewal density Renewal-type equations Phase-type distributions Frechet derivatives Banach algebras
International audienceStationary renewal point processes are defined by the probability distribution...
International audienceIn this paper, we consider an approximation by diffusion of a model of metasta...
International audienceIn this paper, we consider an approximation by diffusion of a model of metasta...
AbstractBuilding on and extending the results of Grübel (1989a), (J. Appl. Probab. 26, 296–303), app...
© 2015 Elsevier B.V. It is usually impossible to find explicit expressions for the renewal sequence....
AbstractConsider the renewal equation in the form (∗) u(t) = g(t) + ∝ot u(t − τ) ƒ(τ) dτ, where ƒ(t)...
Background: The renewal function is widely useful in the areas of reliability, maintenance and spare...
A characterization is given of the random vectors (X, X’) satisfying the equation X ~ X’ ~ U(X + X’)...
A characterization is given of the random vectors (X, X’) satisfying the equation X ~ X’ ~ U(X + X’)...
A characterization is given of the random vectors (X, X’) satisfying the equation X ~ X’ ~ U(X + X’)...
AbstractLet {Zj,j⩾1} be a sequence of nonnegative continuous random variables. Given an arbitrary fu...
Many quantities of interest in the study of renewal processes may be expressed as the solution to a ...
AbstractWe develop a strong approximation of renewal processes. The consequences of this approximati...
International audienceStationary renewal point processes are defined by the probability distribution...
International audienceStationary renewal point processes are defined by the probability distribution...
International audienceStationary renewal point processes are defined by the probability distribution...
International audienceIn this paper, we consider an approximation by diffusion of a model of metasta...
International audienceIn this paper, we consider an approximation by diffusion of a model of metasta...
AbstractBuilding on and extending the results of Grübel (1989a), (J. Appl. Probab. 26, 296–303), app...
© 2015 Elsevier B.V. It is usually impossible to find explicit expressions for the renewal sequence....
AbstractConsider the renewal equation in the form (∗) u(t) = g(t) + ∝ot u(t − τ) ƒ(τ) dτ, where ƒ(t)...
Background: The renewal function is widely useful in the areas of reliability, maintenance and spare...
A characterization is given of the random vectors (X, X’) satisfying the equation X ~ X’ ~ U(X + X’)...
A characterization is given of the random vectors (X, X’) satisfying the equation X ~ X’ ~ U(X + X’)...
A characterization is given of the random vectors (X, X’) satisfying the equation X ~ X’ ~ U(X + X’)...
AbstractLet {Zj,j⩾1} be a sequence of nonnegative continuous random variables. Given an arbitrary fu...
Many quantities of interest in the study of renewal processes may be expressed as the solution to a ...
AbstractWe develop a strong approximation of renewal processes. The consequences of this approximati...
International audienceStationary renewal point processes are defined by the probability distribution...
International audienceStationary renewal point processes are defined by the probability distribution...
International audienceStationary renewal point processes are defined by the probability distribution...
International audienceIn this paper, we consider an approximation by diffusion of a model of metasta...
International audienceIn this paper, we consider an approximation by diffusion of a model of metasta...