
<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Erniel Barrios</style></author><author><style face="normal" font="default" size="100%">Kevin Carl Santos</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Spatial-temporal models and computational statistics methods: A survey</style></title><secondary-title><style face="normal" font="default" size="100%">The Philippine Statistician</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.psai.ph/docs/publications/tps/tps_2017_66_1_1.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">66</style></volume><pages><style face="normal" font="default" size="100%">1-20</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We introduce panel models and identify its link to spatial-temporal models. Both models are characterized and differentiated through the variance-covariance matrix of the disturbance term. The resulting estimates or tests are as complicated as the nature of the said variance-covariance matrix. Some iterative methods typically used in computational statistics are also presented. These methods are used in conducting statistical inference for spatial-temporal models.</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue></record></records></xml>