Pages that link to "Item:Q4705827"

The following pages link to Simulated maximum likelihood estimation of multivariate mixed‐Poisson regression models, with application (Q4705827):

Displaying 34 items.

• A flexible approach to finite mixture regression models for multivariate mixed responses (Q383957) (← links)
• Finite mixtures of quantile and M-quantile regression models (Q518274) (← links)
• A simulation of the performance of \(C_{p}\) in model selection for logistic and Poisson regression (Q673288) (← links)
• The MCMC and SML estimation of a self-selection model with two outcomes (Q951877) (← links)
• The effect of rounding on payment efficiency (Q961288) (← links)
• Simulated minimum Hellinger distance estimation of stochastic volatility models (Q961438) (← links)
• Research and development, competition and innovation. Pseudo-maximum likelihood and simulated maximum likelihood methods applied to count data models with heterogeneity (Q1362488) (← links)
• On the simulated maximum likelihood estimation of multiperiod multinomial probit models (Q1879215) (← links)
• A finite mixture of bivariate Poisson regression models with an application to insurance ratemaking (Q1927179) (← links)
• Functional forms for the negative binomial model for count data (Q1934819) (← links)
• Biases in maximum simulated likelihood estimation of bivariate models (Q2121826) (← links)
• Copula regression models for discrete and mixed bivariate responses (Q2321793) (← links)
• A conditional count model for repeated count data and its application to GEE approach (Q2359170) (← links)
• Tests for independence in a bivariate negative binomial model (Q2510647) (← links)
• The multivariate mixed negative binomial regression model with an application to insurance a posteriori ratemaking (Q2665879) (← links)
• Copula-based bivariate finite mixture regression models with an application for insurance claim count data (Q2677131) (← links)
• Handling endogeneity and nonnegativity in correlated random effects models: evidence from ambulatory expenditure (Q2802553) (← links)
• Parameter estimation of Poisson generalized linear mixed models based on three different statistical principles: a simulation study (Q2810754) (← links)
• Semiparametric mixture models for multivariate count data, with application (Q3023031) (← links)
• Modelling the differences in counted outcomes using bivariate copula models with application to mismeasured counts* (Q3023040) (← links)
• Mixed Poisson Distributions (Q3421322) (← links)
• A model for identifying and ranking dangerous accident locations: a case study in Flanders (Q3429861) (← links)
• Maximum Likelihood Estimation of a Poisson Parameter in a Model of Equioverlapping Samples:A Simulation Study (Q3471405) (← links)
• Score tests for overdispersion in the bivariate negative binomial models (Q3615051) (← links)
• A simulation comparison on spatial Poisson mixed models (Q4638817) (← links)
• A bivariate Poisson count data model using conditional probabilities (Q4671017) (← links)
• On the bivariate negative binomial regression model (Q5123592) (← links)
• EM Algorithm for Mixed Poisson and Other Discrete Distributions (Q5490576) (← links)
• Bivariate exponentiated‐exponential geometric regression model (Q6067648) (← links)
• Random effect models for multivariate mixed data: A Parafac-based finite mixture approach (Q6078167) (← links)
• An ensemble approach to short‐term forecast of COVID‐19 intensive care occupancy in Italian regions (Q6091715) (← links)
• Bivariate Mixed Poisson Regression Models with Varying Dispersion (Q6110489) (← links)
• Zero inflated bivariate Poisson regression models for a sport (\textit{in})activity data analysis (Q6613595) (← links)
• CO\(_2\) emissions and growth: a bivariate bidimensional mean-variance random effects model (Q6626602) (← links)