A heteroscedastic polynomial regression with measurement error in both axes (2008)
- Authors:
- USP affiliated authors: BOLFARINE, HELENO - IME ; PATRIOTA, ALEXANDRE GALVÃO - IME
- Unidade: IME
- Subjects: REGRESSÃO LINEAR; CONTROLE ESTOCÁSTICO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Indian Statistical Institute
- Publisher place: West Bengal
- Date published: 2008
- Source:
- Título: Sankhyā: The Indian Journal of Statistics, Series B
- Volume/Número/Paginação/Ano: v. 70, n. 2, p. 267-282, 2008
-
ABNT
PATRIOTA, Alexandre Galvão e BOLFARINE, Heleno. A heteroscedastic polynomial regression with measurement error in both axes. Sankhyā: The Indian Journal of Statistics, Series B, v. 70, n. 2, p. 267-282, 2008Tradução . . Disponível em: https://www.jstor.org/stable/41234435. Acesso em: 21 jan. 2026. -
APA
Patriota, A. G., & Bolfarine, H. (2008). A heteroscedastic polynomial regression with measurement error in both axes. Sankhyā: The Indian Journal of Statistics, Series B, 70( 2), 267-282. Recuperado de https://www.jstor.org/stable/41234435 -
NLM
Patriota AG, Bolfarine H. A heteroscedastic polynomial regression with measurement error in both axes [Internet]. Sankhyā: The Indian Journal of Statistics, Series B. 2008 ; 70( 2): 267-282.[citado 2026 jan. 21 ] Available from: https://www.jstor.org/stable/41234435 -
Vancouver
Patriota AG, Bolfarine H. A heteroscedastic polynomial regression with measurement error in both axes [Internet]. Sankhyā: The Indian Journal of Statistics, Series B. 2008 ; 70( 2): 267-282.[citado 2026 jan. 21 ] Available from: https://www.jstor.org/stable/41234435 - Improved maximum likelihood estimators in a heteroskedastic errors-in-variables model
- Measurement error models with a general class of error distribution
- A multivariate ultrastructural errors-in-variables model with equation error
- A heteroscedastic structural errors-in-variables model with equation error
- A measure of evidence based on the likelihood-ratio statistics
- On estimating the boundaries of a uniform distribution under additive measurement errors
- A classical measure of evidence for general null hypotheses
- The likelihood-ratio measure
- Modelos heterocedásticos com erros nas variáveis
- On some assumptions of the null hypothesis statistical testing
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