Bayesian analysis of the log-linear model with one covariate and a generalized gamma distribution for the error (1985)
- Authors:
- USP affiliated author: BOLFARINE, HELENO - IME
- School: IME
- Subject: INFERÊNCIA BAYESIANA
- Language: Português
- Imprenta:
- Descrição física: 27 p
-
ABNT
ACHCAR, Jorge Alberto e BOLFARINE, Heleno. Bayesian analysis of the log-linear model with one covariate and a generalized gamma distribution for the error. . São Paulo: IME-USP. . Acesso em: 20 ago. 2022. , 1985 -
APA
Achcar, J. A., & Bolfarine, H. (1985). Bayesian analysis of the log-linear model with one covariate and a generalized gamma distribution for the error. São Paulo: IME-USP. -
NLM
Achcar JA, Bolfarine H. Bayesian analysis of the log-linear model with one covariate and a generalized gamma distribution for the error. 1985 ;[citado 2022 ago. 20 ] -
Vancouver
Achcar JA, Bolfarine H. Bayesian analysis of the log-linear model with one covariate and a generalized gamma distribution for the error. 1985 ;[citado 2022 ago. 20 ] - Inference and local influence assessment in skew-normal null intercept measurement error model
- Likelihood-based inference for the power regression model
- Multivariate measurement error models based on scale mixtures of the skew-normal distribution
- An extension of the generalized half-normal distribution
- Likelihood-based inference for power distributions
- Bayesian estimation of regression parameters in elliptical measurement error models
- Asymmetric regression models with limited responses with an application to antibody response to vaccine
- Properties and Inference on the Skew-Curved-Symmetric Family of Distributions
- Doubly censored power-normal regression models with inflation
- Likelihood-based inference for multivariate skew scale mixtures of normal distributions
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