000009428 001__ 9428
000009428 005__ 20141205150205.0
000009428 04107 $$aeng
000009428 046__ $$k2008-10-12
000009428 100__ $$aArroyo, Danny
000009428 24500 $$aMultivariate Bayesian Regression Analysis Applied to Pseudo-Acceleration Atenuattion Relationships

000009428 24630 $$n14.$$pProceedings of the 14th World Conference on Earthquake Engineering
000009428 260__ $$b
000009428 506__ $$arestricted
000009428 520__ $$2eng$$aThe application of a linear multivariate Bayesian regression model to compute pseudoacceleration (SA) attenuation relationships is presented. The model is able to include the correlation between observations for a given earthquake, the correlation between SA ordinates of different periods and the correlation between coefficients of the regression model. Through comparisons between results obtained with the least-squares method and the one-stage maximum-likelihood method, the advantages of the Bayesian model are discussed.

000009428 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000009428 653__ $$aBayesian analysis, attenuation relations, ground motions

000009428 7112_ $$a14th World Conference on Earthquake Engineering$$cBejing (CN)$$d2008-10-12 / 2008-10-17$$gWCEE15
000009428 720__ $$aArroyo, Danny$$iOrdaz, Mario G
000009428 8560_ $$ffischerc@itam.cas.cz
000009428 8564_ $$s197936$$uhttps://invenio.itam.cas.cz/record/9428/files/03-02-0027.pdf$$yOriginal version of the author's contribution as presented on CD, Paper ID: 03-02-0027.
000009428 962__ $$r9324
000009428 980__ $$aPAPER