- Ground-motion model is (case II):
where y is in gal, C

_{5}= 0.231 and C_{6}= 0.626, for rock C_{1}= 0.894, C_{2}= 0.563, C_{4}= 1.523 and σ = 0.220 and for soil C_{1}= 1.135, C_{2}= 0.462, C_{4}= 1.322 and σ = 0.243 (these coefficients are from regression assuming M and R are without error). - Use two site categories:
- 1.
- Rock
- 2.
- Soil

- Supplement western USA data in large magnitude range with 25 records from 2 foreign earthquakes with magnitudes 7.2 and 7.3.
- Note that there are uncertainties associated with magnitude and distance and these should be considered in derivation of attenuation relations.
- Develop method, based on weighted consistent least-square regression, which minimizes residual error of all random variables not just residuals between predicted and measured ground motion. Method considers ground motion, magnitude and distance to be random variables and also enables inverse of attenuation equation to be used directly.
- Note prediction for R > 100km may be incorrect due to lack of anelastic attenuation term.
- Use both horizontal components to maintain their actual randomness.
- Note most data from moderate magnitude earthquakes and from intermediate distances therefore result possibly unreliable outside this range.
- Use weighted analysis so region of data space with many records are not overemphasized. Use M-R
subdivisions of data space: for magnitude M < 5.5, 5.5 ≤ M ≤ 5.9, 6.0 ≤ M ≤ 6.4, 6.5 ≤ M ≤ 6.9,
7.0 ≤ M ≤ 7.5 and M > 7.5 and for distance R < 3, 3 ≤ R ≤ 9.9, 10 ≤ R ≤ 29.9, 30 ≤ R ≤ 59.9,
60 ≤ R ≤ 99.9, 100 ≤ R ≤ 300 and R > 300km. Assign equal weight to each subdivision, and any data
point in subdivision i containing n
_{i}data has weight 1∕n_{i}and then normalise. - To find C
_{5}and C_{6}use 316 records from 7 earthquakes (5.6 ≤ M ≤ 7.2) to fit log Y = ∑_{i=1}^{m}C_{2,i}E_{i}- C_{4}log[r + ∑_{i=1}^{m}R_{0,i}E_{i}], where E_{i}= 1 for ith earthquake and 0 otherwise. Then fit R_{0}= C_{5}exp(C_{6}M) to results. - Also try equations: log y = C
_{1}+C_{2}M-C_{4}log[R+C_{5}] (case I) and log y = C_{1}+C_{2}M-C_{3}M^{2}-C_{4}log[R+ C_{5}exp(C_{6}M)] (case III) for M ≤ M_{c}, where impose condition C_{3}= (C_{2}-C_{4}C_{6}∕ln10)∕(2M_{c}) so ground motion is completely saturated at M = M_{c}(assume M_{c}= 8.0). - Find equations for rock and soil separately and for both combined.