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Birnbaum–Saunders statistical modelling: a new approach
by
Barros, Michelli
, Leiva, Víctor
, Cysneiros, Francisco José A
, Santos-Neto, Manoel
in
Data analysis
/ Generalized linear models
/ Monte Carlo simulation
/ Normal distribution
/ Random variables
/ Regression analysis
/ Statistical analysis
/ Studies
2014
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Birnbaum–Saunders statistical modelling: a new approach
by
Barros, Michelli
, Leiva, Víctor
, Cysneiros, Francisco José A
, Santos-Neto, Manoel
in
Data analysis
/ Generalized linear models
/ Monte Carlo simulation
/ Normal distribution
/ Random variables
/ Regression analysis
/ Statistical analysis
/ Studies
2014
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Do you wish to request the book?
Birnbaum–Saunders statistical modelling: a new approach
by
Barros, Michelli
, Leiva, Víctor
, Cysneiros, Francisco José A
, Santos-Neto, Manoel
in
Data analysis
/ Generalized linear models
/ Monte Carlo simulation
/ Normal distribution
/ Random variables
/ Regression analysis
/ Statistical analysis
/ Studies
2014
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Journal Article
Birnbaum–Saunders statistical modelling: a new approach
2014
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Overview
Modelling based on the Birnbaum–Saunders distribution has received considerable attention in recent years. In this article, we introduce a new approach for Birnbaum–Saunders regression models, which allows us to analyze data in their original scale and to model non-constant variance. In addition, we propose four types of residuals for these models and conduct a simulation study to establish which of them has a better performance. Moreover, we develop methods of local influence by calculating the normal curvatures under different perturbation schemes. Finally, we perform a statistical analysis with real data by using the approach proposed in the article. This analysis shows the potentiality of our proposal.
Publisher
SAGE Publications,Sage Publications Ltd
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