Resource title

What you always wanted to know about censoring but never dared to ask

Resource image

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Resource 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 con- ditions the maximiser of this generalised likelihood has all the prop- erties of a maximum likelihood estimator: it is consistent and the respective root-n estimator is asymptotically efficient and normally distributed.

Resource author

Wendelin Schnedler

Resource publisher

Resource publish date

Resource language

eng

Resource content type

text/html

Resource resource URL

http://hdl.handle.net/10419/22865

Resource license

Adapt according to the presented license agreement and reference the original author.