Results 11 to 20 of about 406,411 (253)
Erratum to: A Monte Carlo simulation study comparing linear regression, beta regression, variable-dispersion beta regression and fractional logit regression at recovering average difference measures in a two sample design [PDF]
BMC Medical Research Methodology, 2016 Christopher Meaney, Rahim Moineddin
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Semiparametric Additive Beta Regression Models
Revstat Statistical Journal, 2021 In this paper, we study a semiparametric additive beta regression model using a parameterization based on the mean and a dispersion parameter. This model is useful for situations where the response variable is continuous and restricted to the unit ...
Germán Ibacache-Pulgar +2 more
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Measuring household legume cultivation intensity in sub-Saharan Africa
International Journal of Agricultural Sustainability, 2021 Legumes form part of an ecological-based solution to intensification in areas with limited access to external inputs. Despite a number of decades of intervention, uptake of legumes has been slow within smallholder farming systems in sub-Saharan Africa ...
A. P. Barnes +7 more
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eLife, 2022 Splicing is highly regulated and is modulated by numerous factors. Quantitative predictions for how a mutation will affect precursor mRNA (pre-mRNA) structure and downstream function are particularly challenging.
Jayashree Kumar +7 more
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Determinants of teff commercialization among smallholder farmers: Beta regression approach
Cogent Social Sciences, 2023 In Ethiopia, agricultural commercialization is not well developed. Smallholder farmers with a subsistence farming system dominate crop production, resulting in incompetent and less commercialized produce.
Adugnaw Anteneh, Birara Endalew
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zoib: An R Package for Bayesian Inference for Beta Regression and Zero/One Inflated Beta Regression [PDF]
The R Journal, 2015 The beta distribution is a versatile function that accommodates a broad range of probability distribution shapes. Beta regression based on the beta distribution can be used to model a response variable y that takes values in open unit interval (0,1).
Fang Liu 0006, Yunchuan Kong
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An Approximate Bayesian Inference for Beta Regression Models [PDF]
Journal of Sciences, Islamic Republic of Iran, 2022 In modeling the variables related to each other, regression models are usually used assuming that the response variable is Normal. But in problems dealing with data such as the rate or ratio of an event distributed in the (0,1) interval, these models may
kobra Gholizadeh Gazvar +1 more
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Zero-Inflated Beta Distribution Regression Modeling
Journal of Agricultural, Biological and Environmental Statistics, 2022 A frequent challenge encountered with ecological data is how to interpret, analyze, or model data having a high proportion of zeros. Much attention has been given to zero-inflated count data, whereas models for non-negative continuous data with an abundance of 0s are lacking.
Becky Tang +3 more
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On quantile residuals in beta regression [PDF]
Communications in Statistics - Simulation and Computation, 2017 Beta regression is often used to model the relationship between a dependent variable that assumes values on the open interval (0,1) and a set of predictor variables. An important challenge in beta regression is to find residuals whose distribution is well approximated by the standard normal distribution.
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Beta‐Binomial Regression and Bimodal Utilization [PDF]
Health Services Research, 2013 ObjectiveTo illustrate how the analysis of bimodal U‐shaped distributed utilization can be modeled with beta‐binomial regression, which is rarely used in health services research.Data Sources/Study SettingVeterans Affairs (VA) administrative data and Medicare claims in 2001–2004 for 11,123 Medicare‐eligible VA primary care users in 2000.Study DesignWe ...
Chuan-Fen, Liu +3 more
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