- Ground-motion model is not given here since it requires evaluation of a complex equation that cannot be summarised. Derive model using an adaptive network-based fuzzy inference system and the random-effects algorithm to split the variability into inter- and intra-event components. Provide details but these are not given here.
- Characterise sites by V
_{s,30}: values 110–1540m∕s. - Use data from the NGA-West2 database. Exclude earthquakes with focal depth > 25km and aftershocks.
Exclude non-free-field stations. Also exclude sites without measured V
_{s,30}. Most remaining data from Japan, Taiwan and California. - Provide cumulative distribution functions of dataset. 80% of data from 4.0 ≤ M
_{w}≤ 7.0, 10 ≤ r_{jb}≤ 200km and 210 ≤ V_{s,30}≤ 650m∕s. - Data from 580 different sites.
- Examine residuals on normal probability plots and find that they conform to the lognormal distribution.
- Test robustness of result by re-deriving model using only half of records. Find predictions are almost unchanged when using only half the records.
- Find limited evidence for nonlinear site amplification.