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Published in 2024 at "Journal of Mathematics"
DOI: 10.1155/2024/6694880
Abstract: In the field of chemical data modeling, it is common to encounter response variables that are constrained to the interval (0, 1). In such cases, the beta regression model is often a more suitable choice…
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Keywords:
beta regression;
liu type;
jackknifed liu;
regression ... See more keywords
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Published in 2020 at "Electronic Journal of Applied Statistical Analysis"
DOI: 10.1285/i20705948v13n2p350
Abstract: R 2 measure, which named coefficient of determination, is usually used as tools for evaluation the predictive power of the regression models. However, this measure, which is based on deviance for generalized linear models, is…
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Keywords:
regression;
beta regression;
type measures;
regression model ... See more keywords
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Published in 2025 at "Hacettepe Journal of Mathematics and Statistics"
DOI: 10.15672/hujms.1544513
Abstract: Cook’s distance is one of the renowned and classic tools for the detection of influential observations. In this article, we propose to use Cook’s distance with different residuals in the Beta regression model, which is…
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Keywords:
beta regression;
cook distance;
regression;
regression model ... See more keywords
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Published in 2023 at "Axioms"
DOI: 10.3390/axioms12060526
Abstract: The beta regression model (BRM) is used when the dependent variable may take continuous values and be bounded in the interval (0, 1), such as rates, proportions, percentages and fractions. Generally, the parameters of the…
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Keywords:
beta regression;
stein estimator;
regression model;
james stein ... See more keywords
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Published in 2025 at "Foods"
DOI: 10.3390/foods14172997
Abstract: Food insecurity remains a persistent global challenge, despite significant advancements in agricultural production and technology. The main objective of this study is to identify and quantitatively assess some of the structural determinants influencing country-level food…
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Keywords:
beta regression;
food;
country level;
food insecurity ... See more keywords