Beta Regression for Modelling Rates and Proportions

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Ferrari, Silvia, and Francisco Cribari-Neto. “Beta Regression for Modelling Rates and Proportions”. Journal of Applied Statistics, vol. 31, no. 7, 2004, pp. 799-15, https://doi.org/10.1080/0266476042000214501.
Ferrari, S., & Cribari-Neto, F. (2004). Beta Regression for Modelling Rates and Proportions. Journal of Applied Statistics, 31(7), 799-815. https://doi.org/10.1080/0266476042000214501
Ferrari, Silvia, and Francisco Cribari-Neto. “Beta Regression for Modelling Rates and Proportions”. Journal of Applied Statistics 31, no. 7 (2004): 799-815. https://doi.org/10.1080/0266476042000214501.
Ferrari S, Cribari-Neto F. Beta Regression for Modelling Rates and Proportions. Journal of Applied Statistics. 2004;31(7):799-815.
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Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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The category Science: Mathematics 294 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Improved point and interval estimation for a beta regression model and was published in 2006. The most recent citation comes from a 2024 study titled Engage Wider Audience or Facilitate Quality Answers? a Mixed-methods Analysis of Questioning Strategies for Research Sensemaking on a Community Q&A Site. This article reached its peak citation in 2021, with 229 citations. It has been cited in 859 different journals, 17% of which are open access. Among related journals, the PLOS ONE cited this research the most, with 50 citations. The chart below illustrates the annual citation trends for this article.
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