Hypotheses testing for structural calibration model
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
20/10/2012
20/10/2012
2011
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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 |
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 |