Propuesta de Estimación de Características Sensibles Utilizando Métodos Bayesianos para la Técnica de Conteo de Ítems de Hussain

dc.contributor.advisorCruz Pérez, Edwin Andrés
dc.contributor.advisorPineda Ríos, Wilmer Dario
dc.contributor.authorMoreno Ibagué, Anyi Biviana
dc.contributor.corporatenameUniversidad Santo Tomásspa
dc.contributor.cvlachttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001525346
dc.contributor.cvlachttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001454199
dc.contributor.cvlachttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000101890
dc.contributor.googlescholarhttps://scholar.google.es/citations?hl=es&user=e6Oad5sAAAAJ
dc.contributor.googlescholarhttps://scholar.google.es/citations?hl=es&user=5KmOl5oAAAAJ
dc.contributor.orcidhttps://orcid.org/0000-0003-2134-0058
dc.contributor.orcidhttps://orcid.org/0000-0001-7774-951X
dc.date.accessioned2024-10-05T16:02:37Z
dc.date.available2024-10-05T16:02:37Z
dc.date.issued2023-11-17
dc.descriptionEn este artículo se presenta una propuesta Bayesiana para mejorar el estimador de Hussain en la Técnica de Conteo de Ítems (TCI), con el objetivo de eliminar o reducir la proporción de estimaciones negativas que presenta este estimador cuando se desea estudiar una característica sensible en particular. Se plantea un estimador analítico empleando como distribuciones previas una distribución beta y la distribución uniforme, el análisis se realiza vía simulación planteando diferentes escenarios para el numero de preguntas en el cuestionario, tamaño de la muestra y la proporción conocida de las preguntas no sensibles, obteniendo finalmente la eliminación total de las estimaciones negativas para la proporción de personas que poseen una característica sensible de interés, presentando reducciones significativas en el coeficiente de variación estimado.spa
dc.description.abstractThis paper presents a Bayesian proposal to improve the Hussain estimator in the Item Counting Technique (ICT), with the objective of eliminating or reducing the proportion of negative estimates that this estimator presents when a particular sensitive characteristic is to be studied. An analytical estimator is proposed using as prior distributions a beta distribution and the uniform distribution, the analysis is carried out via simulation by proposing different scenarios for the number of questions in the questionnaire, sample size and the known proportion of non-sensitive questions, obtaining finally the total elimination of the negative estimates for the proportion of people who have a sensitive characteristic of interest, presenting significant reductions in the estimated coefficient of variation.spa
dc.description.degreelevelMaestríaspa
dc.description.degreenameMagister en Estadística Aplicadaspa
dc.format.mimetypeapplication/pdf
dc.identifier.citationMoreno Ibagué, A. B. (2023). Propuesta de Estimación de Características Sensibles Utilizando Métodos Bayesianos para la Técnica de Conteo de Ítems de Hussain. [Trabajo de Maestría, Universidad Santo Tomás]. Repositorio Institucional.spa
dc.identifier.instnameinstname:Universidad Santo Tomásspa
dc.identifier.reponamereponame:Repositorio Institucional Universidad Santo Tomásspa
dc.identifier.repourlrepourl:https://repository.usta.edu.cospa
dc.identifier.urihttp://hdl.handle.net/11634/58218
dc.language.isospa
dc.publisherUniversidad Santo Tomásspa
dc.publisher.branchCRAI-USTA Bogotáspa
dc.publisher.facultyFacultad de Estadísticaspa
dc.publisher.programMaestría Estadística Aplicadaspa
dc.relation.referencesP. M. Aronow, A. Coppock, F. W. Crawford, and D. P. Green. Combining list ex periment and direct question estimates of sensitive behavior prevalence. Journal of Survey Statistics and Methodology, 3(1):43–66, 2015.spa
dc.relation.referencesG. Blair, W. Chou, and K. Imai. List experiments with measurement error. Poli tical Analysis, 27(4):455–480, 2019.spa
dc.relation.referencesT. C. Chaudhuri y Christofides, Arijit y Christofides. Indirect questioning in sample surveys. Springer Science & Business Media, 2013.spa
dc.relation.referencesT. C. Chaudhuri y Christofides, Arijit y s. Item count technique in estimating the proportion of people with a sensitive feature. Journal of statistical planning and inference, 137(2):589–593, 2007.spa
dc.relation.referencesW. Chou, K. Imai, and B. Rosenfeld. Sensitive survey questions with auxiliary information. Sociological Methods & Research, 49(2):418–454, 2020.spa
dc.relation.referencesT. C. Christofides. A generalized randomized response technique. Metrika, 57(2): 195–200, 2003.spa
dc.relation.referencesR. Cobo. Respuesta aleatoria y t´ecnicas de preguntas indirectas. Departamento de Estad´ ıstica e Investigaci´on Operativa. Universidad de Granada, 2013.spa
dc.relation.referencesJ. Droitcour, R. A. Caspar, M. L. Hubbard, T. L. Parsley, W. Visscher, and T. M. Ezzati. The item count technique as a method of indirect questioning: A review of its development and a case study application. Measurement errors in surveys, 1991.spa
dc.relation.referencesJ. Droitcour, R. A. Caspar, M. L. Hubbard, T. L. Parsley, W. Visscher, and T. M. Ezzati. The item count technique as a method of indirect questioning: A review of its development and a case study application. Measurement errors in surveys, pages 185–210, 2004.spa
dc.relation.referencesA. Gelman, J. Carlin, H. Stern, D. Dunson, A. Vehtari, and D. Rubin. Baye sian Data Analysis, Third Edition. Chapman & Hall/CRC Texts in Statis tical Science. Taylor & Francis, 2013. ISBN 9781439840955. URL https: //books.google.com.co/books?id=ZXL6AQAAQBAJ.spa
dc.relation.referencesE. Goffman. Stigma: Notes on the management of spoiled identity (a touchstone book), 1986.spa
dc.relation.referencesA.-L. A. Greenberg, Bernard G y Abul-Ela, W. R. Simmons, and D. G. Hor vitz. The unrelated question randomized response model: Theoretical frame work. Journal of the American Statistical Association, 64(326):520–539, 1969a.spa
dc.relation.referencesB. G. Greenberg, A.-L. A. Abul-Ela, W. R. Simmons, and D. G. Horvitz. The unrelated question randomized response model: Theoretical framework. Journal of the American Statistical Association, 64(326):520–539, 1969b. ISSN 01621459. URL http://www.jstor.org/stable/2283636.spa
dc.relation.referencesP. D. Hoff. A first course in Bayesian statistical methods, volume 580. Springer, 2009.spa
dc.relation.referencesY. Hong. On computing the distribution function for the poisson binomial dis tribution. Computational Statistics Data Analysis, 59:41–51, 03 2013. doi: 10.1016/j.csda.2012.10.006.spa
dc.relation.referencesHussain and Shabbir. On item count technique in survey sampling. Journal of Informatics and Mathematical Sciences, 2(2 & 3):161–169, 2010.spa
dc.relation.referencesE. A. y. S. J. Hussain, Zawar y Shah. An alternative item count technique in sen sitive surveys. Revista Colombiana de Estad´ıstica, 35(1):39–54, Jan. 2012.spa
dc.relation.referencesZ. Hussain, E. ALI SHAH, J. Shabbir, and M. Riaz. On an improved bayesian item count technique using different priors. Revista Colombiana de Estad´ ıstica, 36(2):303–317, 2013.spa
dc.relation.referencesK. Imai. Multivariate regression analysis for the item count technique. Journal of the American Statistical Association, 106(494):407–416, 2011. ISSN 01621459.spa
dc.relation.referencesE. E. Jones. Social stigma: The psychology of marked relationships. WH Freeman, 1984.spa
dc.relation.referencesMangat and Singh. An alternative randomized response procedure. Biometrika, 77(2):439–442, 1990. ISSN 00063444.spa
dc.relation.referencesA. Martinez, M. Borjas, and J. J. Andrade. El fraude acad´ emico universitario: el caso de una universidad privada en la ciudad de barranquilla. Zona Pr´oxima, (23):1–17, 2015.spa
dc.relation.referencesJ. D. Miller. A new survey technique for studying deviant behavior. George Wa shington University, 1984.spa
dc.relation.referencesM. Miric. Carga psicosocial del estigma sentido entre las personas que viven con el vih/sida en la rep´ ublica dominicana: Autoestima, depresi´on y percepci´on de apoyo social. Perspectivas psicol´ogicas, 5:40–48, 2005.spa
dc.relation.referencesM. L. Pfeiffer. Derecho a la privacidad. protecci´on de los datos sensibles. Revista Colombiana de Bio´ etica, 3(1):11–36, 2008.spa
dc.relation.referencesF. J. Samaniego. Bayesian vs. Classical Point Estimation: A Comparative Over view, pages 136–138. Springer Berlin Heidelberg, Berlin, Heidelberg, 2011. ISBN 978-3-642-04898-2. doi: 10.1007/978-3-642-04898-2 140.spa
dc.relation.referencesS. M. Samuels. On the number of successes in independent trials. The Annals of Mathematical Statistics, 36(4):1272–1278, 1965. ISSN 00034851spa
dc.relation.referencesC.-E. S¨arndal, B. Swensson, and J. Wretman. Model assisted survey sampling. Springer Science & Business Media, 1992.spa
dc.relation.referencesC. S. Trujillo, Gonz´alez. Item Count Techniques in Sampling from Finite Popula tion. 2020.spa
dc.relation.referencesP. G. Van der Heijden, G. Van Gils, J. Bouts, and J. J. Hox. A comparison of randomized response, computer-assisted self-interview, and face-to-face direct questioning: Eliciting sensitive information in the context of welfare and unem ployment benefit. Sociological Methods & Research, 28(4):505–537, 2000.spa
dc.relation.referencesS. L. Warner. Randomized response: A survey technique for eliminating evasive answer bias. Journal of the American Statistical Association, 60(309):63–69, 1965. ISSN 01621459.spa
dc.rightsAtribución-NoComercial-SinDerivadas 2.5 Colombia
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa
dc.rights.localAbierto (Texto Completo)spa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/
dc.subject.keywordSensitive Characteristicsspa
dc.subject.keywordHussain's Estimatorspa
dc.subject.keywordNegative Estimatesspa
dc.subject.keywordItem Counting Techniquespa
dc.subject.keywordBayesian Techniquessspa
dc.subject.lembEstadísticasspa
dc.subject.lembMuestreospa
dc.subject.lembCiencias Socialesspa
dc.subject.lembComportamiento Humanospa
dc.subject.proposalCaracterísticas Sensiblesspa
dc.subject.proposalEstimador de Hussainspa
dc.subject.proposalEstimaciones negativasspa
dc.subject.proposalTécnica de Conteo de Ítemsspa
dc.subject.proposalTécnicas Bayesianasspa
dc.titlePropuesta de Estimación de Características Sensibles Utilizando Métodos Bayesianos para la Técnica de Conteo de Ítems de Hussainspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdcc
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.driveinfo:eu-repo/semantics/masterThesis
dc.type.localTesis de maestríaspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersion

Archivos

Bloque original

Mostrando 1 - 3 de 3
Cargando...
Miniatura
Nombre:
2024anyimoreno.pdf
Tamaño:
559.65 KB
Formato:
Adobe Portable Document Format
Descripción:
Cargando...
Miniatura
Nombre:
2024cartadederechosdeautor.pdf
Tamaño:
875.17 KB
Formato:
Adobe Portable Document Format
Descripción:
Cargando...
Miniatura
Nombre:
2024cartadefacultad.pdf
Tamaño:
342.28 KB
Formato:
Adobe Portable Document Format
Descripción:

Bloque de licencias

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
license.txt
Tamaño:
807 B
Formato:
Item-specific license agreed upon to submission
Descripción: