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A note on recovering the distributions from exponential moments.
Appl Math Comput 2013 Apr; 219(16):8730-8737
The problem of recovering a cumulative distribution function of a positive random variable via the scaled Laplace transform inversion is studied. The uniform upper bound of proposed approximation is derived. The approximation of a compound Poisson distribution as well as the estimation of a distribution function of the summands given the sample from a compound Poisson distribution are investigated. Applying the simulation study, the question of selecting the optimal scaling parameter of the proposed Laplace transform inversion is considered. The behavior of the approximants are demonstrated via plots and table.
Mathematical-models; Biostatistics; Statistical-analysis; Simulation-methods; Analytical-chemistry; Analytical-processes; Author Keywords: Moment-recovered approximation; Laplace transform inversion; Compound distribution
Robert M. Mnatsakanov, Department of Statistics, West Virginia University, P.O. Box 6330, Morgantown, WV 26506, USA
Issue of Publication
Applied Mathematics and Computation
Page last reviewed: April 12, 2019
Content source: National Institute for Occupational Safety and Health Education and Information Division