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dc.contributor.author
Abril, Juan Carlos  
dc.contributor.other
Lovric, Miodrag  
dc.date.available
2021-12-14T13:23:41Z  
dc.date.issued
2010  
dc.identifier.citation
Abril, Juan Carlos; Asymptotic, Higher Order; Springer; 2010; 75-76  
dc.identifier.isbn
978-3-642-04897-5  
dc.identifier.uri
http://hdl.handle.net/11336/148709  
dc.description.abstract
Higher order asymptotic deals with two sorts of closely related things. First, there are questions of approximation. One is concerned with expan- sions or inequalities for a distribution function. Second, there are inferential issues. These involve, among other things, the application of the ideas of the study of higher order e¢ ciency, admissibility and minimaxity. In the matter of expansions, it is as important to have usable, explicit formulas as a rigor- ous proof that the expansions are valid in the sense of truly approximating a target quantity up to the claimed degree of accuracy  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
APPROXIMATIONS TO DISTRIBUTIONS  
dc.subject
HIGHER ORDER ASYMPTOTIC  
dc.subject
ASYMPTOTIC EXPANSIONS  
dc.subject.classification
Economía, Econometría  
dc.subject.classification
Economía y Negocios  
dc.subject.classification
CIENCIAS SOCIALES  
dc.title
Asymptotic, Higher Order  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/bookPart  
dc.type
info:ar-repo/semantics/parte de libro  
dc.date.updated
2021-12-03T20:25:42Z  
dc.journal.pagination
75-76  
dc.journal.pais
Alemania  
dc.journal.ciudad
Berlin  
dc.description.fil
Fil: Abril, Juan Carlos. Universidad Nacional de Tucumán. Facultad de Ciencias Económicas. Instituto de Investigaciones Estadísticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/referencework/10.1007/978-3-642-04898-2  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1007/978-3-642-04898-2  
dc.conicet.paginas
1674  
dc.source.titulo
International Encyclopedia of Statistical Science  

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