000130526 001__ 130526 000130526 005__ 20240202150203.0 000130526 0247_ $$2doi$$a10.1016/j.spl.2004.06.014 000130526 0248_ $$2sideral$$a54427 000130526 037__ $$aART-2004-54427 000130526 041__ $$aeng 000130526 100__ $$aIbarrola, P. 000130526 245__ $$aLinear Completeness in a Continuous Time Gauss-Markov Model 000130526 260__ $$c2004 000130526 5060_ $$aAccess copy available to the general public$$fUnrestricted 000130526 5203_ $$aIn this paper, we study linear completeness in a continuous time linear model. We give a characterization of this property and we show its equivalence with ordinary completeness when a Gaussian process is considered. Furthermore, a characterization of a sufficient and complete estimator in a continuous time Gaussian model is given. 000130526 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/ 000130526 590__ $$a0.284$$b2004 000130526 591__ $$aSTATISTICS & PROBABILITY$$b67 / 77 = 0.87$$c2004$$dQ4$$eT3 000130526 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000130526 700__ $$0(orcid)0000-0003-0953-6277$$aPerez Palomares, A.$$uUniversidad de Zaragoza 000130526 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera. 000130526 773__ $$g69, 2 (2004), 143-149$$pStat. probab. lett.$$tStatistics & Probability Letters$$x0167-7152 000130526 8564_ $$s150227$$uhttps://zaguan.unizar.es/record/130526/files/texto_completo.pdf$$yPostprint 000130526 8564_ $$s952225$$uhttps://zaguan.unizar.es/record/130526/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000130526 909CO $$ooai:zaguan.unizar.es:130526$$particulos$$pdriver 000130526 951__ $$a2024-02-02-14:58:32 000130526 980__ $$aARTICLE