A theoretical model for the coherency function describing spatial variability of earthquake ground motions is developed. The model consists of three components characterizing three distinct effects of spatial variability, namely, the incoherence effect that arises from scattering of waves in the het
A time varying AR coefficient model for modelling and simulating earthquake ground motion
β Scribed by Will Gersch; Genshiro Kitagawa
- Publisher
- John Wiley and Sons
- Year
- 1985
- Tongue
- English
- Weight
- 738 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0098-8847
No coin nor oath required. For personal study only.
β¦ Synopsis
A smoothness priors-time varying autoregressive (AR) coefficient model method for the modelling of earthquake ground motion is shown. The method yields the instantaneous smoothed values of the AR coefficients and the instantaneous smoothed values of the innovations variance. These results in turn yield estimates of the instantaneous spectral density, the time varying covariance function and a simulation model for the ground motion data. An example of the application of the method to the analysis of an accelogram from the February 1971 San Fernando, California earthquake is shown.
π SIMILAR VOLUMES
## Abstract In this paper we propose Granger (nonβ)causality tests based on a VAR model allowing for timeβvarying coefficients. The functional form of the timeβvarying coefficients is a logistic smooth transition autoregressive (LSTAR) model using time as the transition variable. The model allows f