Improved point and interval estimation for a beta regression model

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Ospina, Raydonal, et al. “Improved Point and Interval Estimation for a Beta Regression Model”. Computational Statistics &Amp; Data Analysis, vol. 51, no. 2, 2006, pp. 960-81, https://doi.org/10.1016/j.csda.2005.10.002.
Ospina, R., Cribari-Neto, F., & Vasconcellos, K. L. (2006). Improved point and interval estimation for a beta regression model. Computational Statistics &Amp; Data Analysis, 51(2), 960-981. https://doi.org/10.1016/j.csda.2005.10.002
Ospina, Raydonal, Francisco Cribari-Neto, and Klaus L.P. Vasconcellos. “Improved Point and Interval Estimation for a Beta Regression Model”. Computational Statistics &Amp; Data Analysis 51, no. 2 (2006): 960-81. https://doi.org/10.1016/j.csda.2005.10.002.
Ospina R, Cribari-Neto F, Vasconcellos KL. Improved point and interval estimation for a beta regression model. Computational Statistics & Data Analysis. 2006;51(2):960-81.
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Refrences Analysis
Category Category Repetition
Science: Mathematics11
Science: Mathematics: Probabilities. Mathematical statistics10
Science: Biology (General)8
Medicine: Medicine (General): Computer applications to medicine. Medical informatics4
Science: Mathematics: Instruments and machines: Electronic computers. Computer science3
Social Sciences: Economic theory. Demography: Economics as a science2
Social Sciences: Commerce: Business2
Technology: Environmental technology. Sanitary engineering1
Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade1
Technology: Engineering (General). Civil engineering (General)1
Social Sciences: Statistics1
The category Science: Mathematics 11 is the most frequently represented among the references in this article. It primarily includes studies from Biometrika and Journal of Statistical Computation and Simulation. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
Title Journal Journal Categories Citations Publication Date
Beta regression for double‐bounded response with correlated high‐dimensional covariates

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  • Science: Mathematics
 2024
Improved Likelihood Ratio Tests for Varying Dispersion Simplex Regression Models

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Beta autoregressive moving average model selection with application to modeling and forecasting stored hydroelectric energy International Journal of Forecasting
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  • Social Sciences: Commerce: Business: Personnel management. Employment management
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Citations Analysis
Category Category Repetition
Science: Mathematics: Probabilities. Mathematical statistics36
Science: Mathematics36
Science: Mathematics: Instruments and machines: Electronic computers. Computer science13
Social Sciences: Statistics4
Medicine3
Science3
Science: Science (General)3
Technology: Mechanical engineering and machinery3
Philosophy. Psychology. Religion: Psychology3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics2
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry: Neurology. Diseases of the nervous system: Psychiatry2
Social Sciences2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
Technology: Manufactures: Production management. Operations management1
Technology: Engineering (General). Civil engineering (General)1
Technology: Environmental technology. Sanitary engineering1
Science: Biology (General): Ecology1
Medicine: Therapeutics. Pharmacology1
Medicine: Public aspects of medicine: Toxicology. Poisons1
Science: Chemistry: Analytical chemistry1
Science: Mathematics: Instruments and machines1
Science: Chemistry1
Science: Physics: Meteorology. Climatology1
Science: Geology1
Medicine: Medicine (General): Medical technology1
Medicine: Medicine (General): Computer applications to medicine. Medical informatics1
Science: Biology (General)1
Social Sciences: Economic theory. Demography: Economics as a science1
Social Sciences: Commerce: Business: Personnel management. Employment management1
Social Sciences: Commerce: Business1
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods1
Education: Theory and practice of education1
Education1
Social Sciences: Sociology (General)1
The category Science: Mathematics: Probabilities. Mathematical statistics 36 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Bias-Corrected Maximum Likelihood Estimators in Nonlinear Heteroscedastic Models and was published in 2009. The most recent citation comes from a 2024 study titled Beta regression for double‐bounded response with correlated high‐dimensional covariates. This article reached its peak citation in 2021, with 5 citations. It has been cited in 34 different journals, 14% of which are open access. Among related journals, the Journal of Statistical Computation and Simulation cited this research the most, with 6 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year