The following pages link to Negative Binomial Regression (Q5309951):
Displaying 41 items.
- On the Bell distribution and its associated regression model for count data (Q136683) (← links)
- Growth estimators and confidence intervals for the mean of negative binomial random variables with unknown dispersion (Q361598) (← links)
- On the existence of maximum likelihood estimators in Poisson-gamma HGLM and negative binomial regression model (Q375217) (← links)
- Confidence intervals for the mean based on exponential type inequalities and empirical likelihood (Q470597) (← links)
- Finite mixture of regression modeling for high-dimensional count and biomass data in ecology (Q486051) (← links)
- Power series mixtures and the ratio plot with applications to zero-truncated count distribution modelling (Q497088) (← links)
- Generalized smooth finite mixtures (Q528085) (← links)
- Negative binomial mixed models for analysis of stuttering rates (Q961970) (← links)
- A full likelihood procedure of exchangeable negative binomials for modelling correlated and overdispersed count data (Q984642) (← links)
- Nonparametric regression in exponential families (Q987997) (← links)
- Models for analysing species' presence/absence data at two time points (Q1624533) (← links)
- A flexible distribution class for count data (Q1690087) (← links)
- Invariant expectation values in the sampling of discrete frequency distributions (Q1782512) (← links)
- Functional forms for the negative binomial model for count data (Q1934819) (← links)
- Assessing the spatial transferability of freight (trip) generation models across and within states of India: empirical evidence and implications for benefit transfer (Q2129573) (← links)
- Maximum likelihood estimation of regression parameters with spatially dependent discrete data (Q2260102) (← links)
- A robust conditional maximum likelihood estimator for generalized linear models with a dispersion parameter (Q2273152) (← links)
- Average effects based on regressions with a logarithmic link function: a new approach with stochastic covariates (Q2331171) (← links)
- A model for extreme stacking of data at endpoints of a distribution: illustration with W-shaped data (Q2360910) (← links)
- Random-parameter multivariate negative binomial regression for modeling impacts of contributing factors on the crash frequency by crash types (Q2657409) (← links)
- Hierarchical generalized linear models, correlation and a posteriori ratemaking (Q2689677) (← links)
- A Space-Time Scan Statistic for Detecting Emerging Outbreaks (Q3008863) (← links)
- Regularized Sandwich Estimators for Analysis of High-Dimensional Data Using Generalized Estimating Equations (Q3008864) (← links)
- Why you cannot transform your way out of trouble for small counts (Q3119848) (← links)
- Semiparametric Negative Binomial Regression Models (Q3577170) (← links)
- Score Tests for Extra-Zero Models in Zero-Inflated Negative Binomial Models (Q3616254) (← links)
- Correlation Structure and Model Selection for Negative Binomial Distribution in GEE (Q3616262) (← links)
- Sensitivity analysis of longitudinal count responses: a local influence approach and application to medical data (Q5036551) (← links)
- Fiducial inference for gamma distributions: two-sample problems (Q5082571) (← links)
- An empirical approach to determine a threshold for assessing overdispersion in Poisson and negative binomial models for count data (Q5084950) (← links)
- Bivariate zero-inflated negative binomial regression model with applications (Q5106790) (← links)
- The negative binomial–beta Weibull regression model to predict the cure of prostate cancer (Q5127031) (← links)
- Zero-inflated and overdispersed: what's one to do? (Q5218899) (← links)
- Testing the linearity of negative binomial regression models (Q5220770) (← links)
- A flexible bivariate distribution for count data expressing data dispersion (Q6114249) (← links)
- Two-parameter link functions, with applications to negative binomial, Weibull and quantile regression (Q6138164) (← links)
- Multiple imputation of incomplete zero-inflated count data (Q6552763) (← links)
- Conway-Maxwell-Poisson regression models for dispersed count data (Q6602132) (← links)
- A Bayesian semiparametric GLMM for historical and newly collected presence-only data: an application to species richness of Ross sea mollusca (Q6625880) (← links)
- Bayesian parameter estimation for Poisson AR model (Q6630467) (← links)
- Poisson-Birnbaum-Saunders regression model for clustered count data (Q6665516) (← links)
