Consistent estimation and testing in heteroscedastic polynomial errors-in-variables models (2007)
- Authors:
- USP affiliated authors: BOLFARINE, HELENO - IME ; ANDRADE FILHO, MÁRIO DE CASTRO - ICMC
- Unidades: IME; ICMC
- DOI: 10.1007/s10463-006-0069-1
- Subjects: ESTATÍSTICA APLICADA; REGRESSÃO LINEAR
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2007
- Source:
- Título: Annals of the Institute of Statistical Mathematics
- ISSN: 0020-3157
- Volume/Número/Paginação/Ano: v. 59, p. 515-530, 2007
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ZAVALA, Arturo A. Z. e BOLFARINE, Heleno e CASTRO, Mário de. Consistent estimation and testing in heteroscedastic polynomial errors-in-variables models. Annals of the Institute of Statistical Mathematics, v. 59, p. 515-530, 2007Tradução . . Disponível em: https://doi.org/10.1007/s10463-006-0069-1. Acesso em: 22 jan. 2026. -
APA
Zavala, A. A. Z., Bolfarine, H., & Castro, M. de. (2007). Consistent estimation and testing in heteroscedastic polynomial errors-in-variables models. Annals of the Institute of Statistical Mathematics, 59, 515-530. doi:10.1007/s10463-006-0069-1 -
NLM
Zavala AAZ, Bolfarine H, Castro M de. Consistent estimation and testing in heteroscedastic polynomial errors-in-variables models [Internet]. Annals of the Institute of Statistical Mathematics. 2007 ; 59 515-530.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1007/s10463-006-0069-1 -
Vancouver
Zavala AAZ, Bolfarine H, Castro M de. Consistent estimation and testing in heteroscedastic polynomial errors-in-variables models [Internet]. Annals of the Institute of Statistical Mathematics. 2007 ; 59 515-530.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1007/s10463-006-0069-1 - Bayesian inference in measurement error models for replicated data
- Regression models for the comparison of measurement methods
- Detection of analytical bias when comparing two or more measuring methods
- An exact test for analytical bias detection
- Untitled. [Letter to the Editor]
- Local influence in regression for the detection of analytical bias
- Hypothesis testing in an errors-in-variables model with heteroscedastic measurement errors
- Consistent estimation and testing in comparing analytical bias models
- Local influence assessment in heteroscedastic measurement error models
- In this book, we present models and statistical methods for the comparison... [Prefácio]
Informações sobre o DOI: 10.1007/s10463-006-0069-1 (Fonte: oaDOI API)
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