Cover Image

Unified Beta Regression Model with Random Effects for the Analysis of Sensory Attributes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Alves, João César Reis, Palma, Gabriel Rodrigues, de Lara, Idemauro Antonio Rodrigues
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unified Multivariate Ordinal Model for analysis of sensory attributes
by: Melo, Janaína Marques e, et al.
Published: (2025)

Beta regression mixed model applied to sensory analysis
by: Alves, João César Reis, et al.
Published: (2024)

Diagnosing overdispersion in longitudinal analyses with grouped nominal polytomous data
by: Salvador, Maria Letícia, et al.
Published: (2024)

Modelling longitudinal polytomous animal data using Bayesian hierarchical models
by: Salvador, Maria Letícia, et al.
Published: (2025)

Shrinkage Estimators for Beta Regression Models
by: Firinguetti, Luis, et al.
Published: (2024)

Scale-Location-Truncated Beta Regression: Expanding Beta Regression to Accommodate 0 and 1
by: Kim, Mingang, et al.
Published: (2025)

A Sparse Beta Regression Model for Network Analysis
by: Stein, Stefan, et al.
Published: (2020)

Modeling Bounded Count Environmental Data Using a Contaminated Beta-Binomial Regression Model
by: Otto, Arnoldus F., et al.
Published: (2025)

Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference
by: Ramezani, Niloofar, et al.
Published: (2025)

Benchmarking Tabular Foundation Models for Conditional Density Estimation in Regression
by: Izbicki, Rafael, et al.
Published: (2026)

On the Need for Spatial Random Effects in Bayesian Regression Models for Multilevel Areal Data
by: Lin, Shuqi, et al.
Published: (2026)

Kantorovich Regression Analysis of Random Distributions with Mixed Predictors
by: Kim, Kaheon, et al.
Published: (2026)

Robust Realized Integrated Beta Estimator with Application to Dynamic Analysis of Integrated Beta
by: Oh, Minseog, et al.
Published: (2023)

Bayesian Analysis of the Beta Regression Model Subject to Linear Inequality Restrictions with Application
by: Seifollahi, Solmaz, et al.
Published: (2024)

Inference with Randomized Regression Trees
by: Bakshi, Soham, et al.
Published: (2024)

Sensitivity Analysis for Attributable Effects in Case$^2$ Studies
by: Chen, Kan, et al.
Published: (2024)

Combining Climate Models using Bayesian Regression Trees and Random Paths
by: Yannotty, John C., et al.
Published: (2024)

Unified Operator Framework for Functional and Multivariate Regression
by: Carpenter, Mark, et al.
Published: (2026)

A simple but powerful tail index regression
by: Nicolau, João, et al.
Published: (2024)

A Unified Bayesian Nonparametric Framework for Ordinal, Survival, and Density Regression Using the Complementary Log-Log Link
by: Alam, Entejar, et al.
Published: (2025)

Diffusion-aware Censored Gaussian Processes for Demand Modelling
by: Rodrigues, Filipe
Published: (2025)

Scalar-on-Shape Regression Models for Functional Data Analysis
by: Bhadra, Sayan, et al.
Published: (2024)

Calibrated Multivariate Regression with Localized PIT Mappings
by: Kock, Lucas, et al.
Published: (2024)

Noise-Induced Randomization in Regression Discontinuity Designs
by: Eckles, Dean, et al.
Published: (2020)

Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials
by: Oka, Tatsushi, et al.
Published: (2024)

Robust Mendelian Randomization Estimation using Weighted Quantile Regression
by: St-Pierre, Julien, et al.
Published: (2026)

A Random-Effects Approach to Generalized Linear Mixed Model Analysis of Incomplete Longitudinal Data
by: Nguyen, Thuan, et al.
Published: (2024)

Stochastic Actor Oriented Model with Random Effects
by: Ceoldo, Giacomo, et al.
Published: (2023)

Multivariate Causal Effects: a Bayesian Causal Regression Factor Model
by: Zorzetto, Dafne, et al.
Published: (2025)

Testing for Stationary or Persistent Coefficient Randomness in Predictive Regressions
by: Nishi, Mikihito
Published: (2023)

Regression models for binary data with scale mixtures of centered skew-normal link functions
by: de Freitas, João Victor B., et al.
Published: (2024)

A Unified Framework for Nonlinear Mediation Analysis of Random Objects
by: Tan, Wenxi, et al.
Published: (2026)

Bayesian Kernel Machine Regression via Random Fourier Features for Estimating Joint Health Effects of Multiple Exposures
by: Zhang, Danlu, et al.
Published: (2025)

Edgington's Method for Random-Effects Meta-Analysis Part II: Prediction
by: Kronthaler, David, et al.
Published: (2025)

Edgington's Method for Random-Effects Meta-Analysis Part I: Estimation
by: Kronthaler, David, et al.
Published: (2025)

Nonlinear Regression Analysis
by: Huang, Hsin-Hsiung, et al.
Published: (2024)

Anytime-Valid Linear Models and Regression Adjusted Causal Inference in Randomized Experiments
by: Lindon, Michael, et al.
Published: (2022)

Regression Analysis of Reciprocity in Directed Networks
by: Feng, Rui, et al.
Published: (2025)

Variable Selection for Fixed and Random Effects in Multilevel Functional Mixed Effects Models
by: Ghosal, Rahul, et al.
Published: (2025)

Regression Analysis of Cure Rate Models with Competing Risks Subjected to Interval Censoring
by: K., Silpa, et al.
Published: (2024)