On the discretisation error in the computation of the empirical characteristic function
- 1 December 1995
- journal article
- research article
- Published by Taylor & Francis in Journal of Statistical Computation and Simulation
- Vol. 53 (3-4), 129-141
- https://doi.org/10.1080/00949659508811701
Abstract
This paper analyses the discretisation error in computing the empirical characteristic function via the Fast Fourier Transform. Based on an interpretation of the discretisation scheme as a pre-smoothing, we obtain naturally a correction and possible generalizations, and derive exact and approximate formulas for the root mean square error involved. Some numerical evaluations are made, showing the accuracy of our approximate formula and the low value of the above root mean square error.Keywords
This publication has 6 references indexed in Scilit:
- Fast Implementations of Nonparametric Curve EstimatorsJournal of Computational and Graphical Statistics, 1994
- Differences and derivatives in kernel estimationMetrika, 1992
- Discretized and Interpolated Kernel Density EstimatesJournal of the American Statistical Association, 1989
- Kernel density estimation with binned dataCommunications in Statistics - Theory and Methods, 1985
- Remark AS R50: A Remark on Algorithm AS 176. Kernal Density Estimation Using the Fast Fourier TransformJournal of the Royal Statistical Society Series C: Applied Statistics, 1984
- Algorithm AS 176: Kernel Density Estimation Using the Fast Fourier TransformJournal of the Royal Statistical Society Series C: Applied Statistics, 1982