dc.creatorBucyibaruta, Georges
dc.date2014
dc.date.accessioned2018-11-19T14:18:05Z
dc.date.available2018-11-19T14:18:05Z
dc.identifierhttp://cimat.repositorioinstitucional.mx/jspui/handle/1008/351
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/2257058
dc.descriptionThe demand for reliable small area estimates derived from survey data has increased greatly in recent years due to, among other things, their growing use in formulating policies and programs, allocation of government funds, regional planning, small area b
dc.formatapplication/pdf
dc.languageEnglish
dc.publisherCIMAT
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/about/cc0/
dc.subjectinfo:eu-repo/classification/MSC/Model-based approaches, Fay-Herriot model, nested error regression model, linear and generalized linear mixed models, maximum likelihood estimator, restricted maximum likelihood estimator, empirical best linear unbiased estimator, confidence interval, boo
dc.subjectinfo:eu-repo/classification/cti/1
dc.subjectinfo:eu-repo/classification/cti/12
dc.titleStatistical Models for Small Area Estimation
dc.typeTesis
dc.audiencestudents


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