000161960 001__ 161960
000161960 005__ 20251017144546.0
000161960 0247_ $$2doi$$a10.1080/02664763.2013.789097
000161960 0248_ $$2sideral$$a95401
000161960 037__ $$aART-2013-95401
000161960 041__ $$aeng
000161960 100__ $$0(orcid)0000-0003-3550-6370$$aGonzález Chapela, Jorge
000161960 245__ $$aThings that make us different: analysis of deviance with time-use data
000161960 260__ $$c2013
000161960 5060_ $$aAccess copy available to the general public$$fUnrestricted
000161960 5203_ $$aThe constrained, non-normal nature of time-use data poses a challenge to ordinary analysis of variance. This paper investigates a computationally simple variance decomposition technique suitable for those data. As a by-product of the analysis, a measure of fit for systems of time-demand equations is proposed that possesses several useful properties.
000161960 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
000161960 590__ $$a0.453$$b2013
000161960 591__ $$aSTATISTICS & PROBABILITY$$b102 / 119 = 0.857$$c2013$$dQ4$$eT3
000161960 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000161960 773__ $$g40, 7 (2013), 1572-1585$$pJ. appl. stat.$$tJOURNAL OF APPLIED STATISTICS$$x0266-4763
000161960 8564_ $$s290578$$uhttps://zaguan.unizar.es/record/161960/files/texto_completo.pdf$$yPostprint
000161960 8564_ $$s376073$$uhttps://zaguan.unizar.es/record/161960/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000161960 909CO $$ooai:zaguan.unizar.es:161960$$particulos$$pdriver
000161960 951__ $$a2025-10-17-14:09:57
000161960 980__ $$aARTICLE