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What You Always Wanted to Know About Censoring But Never Dared to Ask - Parameter Estimation for Censored Random Vectors

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dc.creator Schnedler, Wendelin
dc.date 2003
dc.date.accessioned 2013-10-16T07:08:33Z
dc.date.available 2013-10-16T07:08:33Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/10419/20082
dc.identifier ppn:367381028
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/10419/20082
dc.description This article considers a wide class of censoring problems and presents a construction rule for an objective function. This objective function generalises the ordinary likelihood as well as particular ?likelihoods? used for estimation in several censoring models. Under regularity conditions the maximiser of this generalised likelihood has all the properties of a maximum likelihood estimator: it is consistent and the respective root-n estimator is asymptotically efficient and normally distributed.
dc.language eng
dc.publisher
dc.relation IZA Discussion paper series 837
dc.rights http://www.econstor.eu/dspace/Nutzungsbedingungen
dc.subject C13
dc.subject C24
dc.subject ddc:330
dc.subject censored variables
dc.subject M-estimation
dc.subject multivariate methods
dc.subject random censoring
dc.subject generalised likelihood
dc.subject Tobit-Modell
dc.subject Schätztheorie
dc.subject Theorie
dc.title What You Always Wanted to Know About Censoring But Never Dared to Ask - Parameter Estimation for Censored Random Vectors
dc.type doc-type:workingPaper


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