Nonlinear quasi-bayesian theory and inverse linear regression

DOI10.1080/03610929708832052zbMath0954.62551OpenAlexW2140329153MaRDI QIDQ4269966

Heleno Bolfarine, Josemar Rodrigues, Gauss M. Cordeiro

Publication date: 10 November 1999

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929708832052

zbMATH Keywords

animal population sizeGauss-newton algorithmGLIM packageregression models with error in both variables

Mathematics Subject Classification ID

Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Cites Work

• Unnamed Item
• Quasi-likelihood functions
• A bayesian analysis in closed animal populations from capture recapture experiments with trap response
• Scnditignal inference and maximum likelihood in a capture-recapture model
• A Bayesian analysis of multiple-recapture sampling for a closed population
• A Bayesian Analysis of the Linear Calibration Problem
• A Likelihood Analysis of the Linear Calibration Problem
• Estimation of the size of a closed population when capture probabilities vary among animals
• Linear calibra and conditional inference
• A Bayesian Look at Inverse Linear Regression
• On Inverse Estimation in Linear Regression
• Structural Solution to the Linear Calibration Problem
• Linear Dynamic Recursive Estimation from the Viewpoint of Regresion Analysis

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