Showing 1 - 7 of 7
We introduce a kernel-based estimator of the density function and regression function for data that have been grouped …
Persistent link: https://www.econbiz.de/10010928627
kernel estimators when the error distribution is not normal. We investigate the finite sample performance of our procedure on …
Persistent link: https://www.econbiz.de/10010745013
We introduce a new kernel smoother for nonparametric regression that uses prior information on regression shape in the … consistency and the asymptotic distribution of our procedure. It has superior performance to the usual kernel estimators at or …
Persistent link: https://www.econbiz.de/10005593214
This paper derives the asymptotic distribution of a smoothing-based estimator of the Lyapunov exponent for a stochastic time series under two general scenarios. In the first case, we are able to establish root-T consistency and asymptotic normality, while in the second case, which is more...
Persistent link: https://www.econbiz.de/10005593525
We introduce a kernel-based estimator of the density function and regression function for data that have been grouped …
Persistent link: https://www.econbiz.de/10005797505
kernel estimators when the error distribution is not normal. We investigate the finite sample performance of our procedure on …
Persistent link: https://www.econbiz.de/10005310372
Persistent link: https://www.econbiz.de/10005184674