CSC 24412
CENTRO DE SIMULACION COMPUTACIONAL PARA APLICACIONES TECNOLOGICAS
Unidad Ejecutora - UE
artículos
Título:
A Closed-Form Approximation for the CDF of the Sum of Independent Random Variables
Autor/es:
LEONARDO REY VEGA; JUAN AUGUSTO MAYA; CECILIA G. GALARZA
Revista:
IEEE SIGNAL PROCESSING LETTERS
Editorial:
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Referencias:
Lugar: New York; Año: 2017 vol. 24 p. 121 - 125
ISSN:
1070-9908
Resumen:
In this letter, we use the Berry-Esseen theorem and the method of tilted distributions to derive a simple tight closed-form approximation for the tail probabilities of a sum of independent but not necessarily identically distributed random variables. We also provide lower and upper bounds. The expression can also be used for computing the cumulative distribution function. We illustrate the accuracy of the method by analyzing some convergence properties of the theoretical approximation and comparing it with previous results in the literature when available and/or numerical results.
