Hypotheses testing for structural calibration model


Autoria(s): VILCA-LABRA, Filidor; AOKI, Reiko; ZELLER, Camila Borelli
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

20/10/2012

20/10/2012

2011

Resumo

The main objective of this paper is to discuss maximum likelihood inference for the comparative structural calibration model (Barnett, in Biometrics 25:129-142, 1969), which is frequently used in the problem of assessing the relative calibrations and relative accuracies of a set of p instruments, each designed to measure the same characteristic on a common group of n experimental units. We consider asymptotic tests to answer the outlined questions. The methodology is applied to a real data set and a small simulation study is presented.

Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Identificador

STATISTICAL PAPERS, v.52, n.3, p.553-565, 2011

0932-5026

http://producao.usp.br/handle/BDPI/28959

10.1007/s00362-009-0269-x

http://dx.doi.org/10.1007/s00362-009-0269-x

Idioma(s)

eng

Publicador

SPRINGER

Relação

Statistical Papers

Direitos

closedAccess

Copyright SPRINGER

Palavras-Chave #Calibration #Maximum likelihood #EM-algorithm #Asymptotic tests #Reliability #INFLUENCE DIAGNOSTICS #RELIABILITY #PRECISION #ERRORS #Statistics & Probability
Tipo

article

original article

publishedVersion