Prediction in a finite population under a generalized linear model (1987)
- Authors:
- USP affiliated author: BOLFARINE, HELENO - IME
- School: IME
- Subject: AMOSTRAGEM
- Language: Português
- Imprenta:
-
ABNT
CORDEIRO, Gauss Moutinho e BOLFARINE, Heleno. Prediction in a finite population under a generalized linear model. . Sao Paulo: IME-USP. Disponível em: https://repositorio.usp.br/directbitstream/7aa5e45e-2d1a-40de-aa35-2c856abad3c8/763939.pdf. Acesso em: 20 ago. 2022. , 1987 -
APA
Cordeiro, G. M., & Bolfarine, H. (1987). Prediction in a finite population under a generalized linear model. Sao Paulo: IME-USP. Recuperado de https://repositorio.usp.br/directbitstream/7aa5e45e-2d1a-40de-aa35-2c856abad3c8/763939.pdf -
NLM
Cordeiro GM, Bolfarine H. Prediction in a finite population under a generalized linear model [Internet]. 1987 ;[citado 2022 ago. 20 ] Available from: https://repositorio.usp.br/directbitstream/7aa5e45e-2d1a-40de-aa35-2c856abad3c8/763939.pdf -
Vancouver
Cordeiro GM, Bolfarine H. Prediction in a finite population under a generalized linear model [Internet]. 1987 ;[citado 2022 ago. 20 ] Available from: https://repositorio.usp.br/directbitstream/7aa5e45e-2d1a-40de-aa35-2c856abad3c8/763939.pdf - 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
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 | 763939.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
