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