A Statistical Inference Comparison for Measurement Estimation Using Stochastic Simulation Techniques

De la Rosa Vargas, José Ismael; Miramontes de León, Gerardo

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dc.contributor	31249	es_ES
dc.contributor.other	https://orcid.org/0000-0002-7337-8974
dc.coverage.spatial	Global	es_ES
dc.creator	De la Rosa Vargas, José Ismael
dc.creator	Miramontes de León, Gerardo
dc.date.accessioned	2020-04-15T17:48:58Z
dc.date.available	2020-04-15T17:48:58Z
dc.date.issued	2008-10
dc.identifier	info:eu-repo/semantics/publishedVersion	es_ES
dc.identifier.issn	0018-9456	es_ES
dc.identifier.issn	1557-9662	es_ES
dc.identifier.uri	http://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1675
dc.identifier.uri	https://doi.org/10.48779/67md-eq91
dc.description.abstract	The purpose of this paper is to present a comparison of different techniques for making statistical inference about a measurement system model. This comparison involves results when two main assumptions are made: 1) the unknowable behavior of the probability density function (pdf) p(e) of errors since the real measurement systems are always exposed to continuous perturbations of an unknown nature and 2) the assumption that, after some experimentation, one can obtain sufficient information that can be incorporated into the modeling as prior information.	es_ES
dc.language.iso	eng	es_ES
dc.publisher	IEEE Instrumentation and Measurement Society	es_ES
dc.relation	DOI: 10.1109/TIM.2008.922098	es_ES
dc.relation.uri	generalPublic	es_ES
dc.rights	Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	IEEE Trans. on Instrumentation and Measurement, Vol. 57, No. 10, pp. 2169-2180, October 2008.	es_ES
dc.subject.classification	INGENIERIA Y TECNOLOGIA [7]	es_ES
dc.subject.other	Bootstrap	es_ES
dc.subject.other	indirect measurement	es_ES
dc.subject.other	Monte Carlo Markov chain (MCMC)	es_ES
dc.subject.other	nonlinear regression	es_ES
dc.subject.other	nonparametric probability density function (pdf) estimation	es_ES
dc.title	A Statistical Inference Comparison for Measurement Estimation Using Stochastic Simulation Techniques	es_ES
dc.type	info:eu-repo/semantics/article	es_ES