Pages that link to "Item:Q86465"

The following pages link to A flexible regression model for count data (Q86465):

Displaying 50 items.

• A Tree-Based Semi-Varying Coefficient Model for the COM-Poisson Distribution (Q5066752) (← links)
• Efficient regression modeling for correlated and overdispersed count data (Q5077960) (← links)
• Bayesian Conway–Maxwell–Poisson regression models for overdispersed and underdispersed counts (Q5078524) (← links)
• A semi-analytical solution to the maximum-likelihood fit of Poisson data to a linear model using the Cash statistic (Q5085628) (← links)
• (Q5093435) (← links)
• A modified one parameter Liu estimator for Conway-Maxwell Poisson response model (Q5096665) (← links)
• A control chart for COM-Poisson distribution using a modified EWMA statistic (Q5107013) (← links)
• Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model (Q5107354) (← links)
• A Flexible Univariate Autoregressive Time‐Series Model for Dispersed Count Data (Q5111856) (← links)
• Conway–Maxwell–Poisson Autoregressive Moving Average Model for Equidispersed, Underdispersed, and Overdispersed Count Data (Q5135325) (← links)
• Mean-parametrized Conway–Maxwell–Poisson regression models for dispersed counts (Q5142181) (← links)
• Extended Poisson–Tweedie: Properties and regression models for count data (Q5142193) (← links)
• A Weibull-count approach for handling under- and overdispersed longitudinal/clustered data structures (Q5142259) (← links)
• (Q5154546) (← links)
• Expedient universal robust likelihood method for general dispersed count data (Q5221510) (← links)
• Conditional Heteroskedasticity in Count Data Regression: Self-Feeding Activity in Fish (Q5290382) (← links)
• The COM‐Poisson model for count data: a survey of methods and applications (Q5414500) (← links)
• ‘The COM‐Poisson model for count data: a survey of methods and applications’ by K. Sellers, S. Borle and G. Shmueli (Q5414501) (← links)
• Marginal regression models for clustered count data based on zero‐inflated Conway–Maxwell–Poisson distribution with applications (Q5739291) (← links)
• A Time-Series Model for Underdispersed or Overdispersed Counts (Q5869300) (← links)
• Bridging the Gap: A Generalized Stochastic Process for Count Data (Q5885438) (← links)
• Two parameter estimators for the Conway–Maxwell–Poisson regression model (Q6050771) (← links)
• Bivariate exponentiated‐exponential geometric regression model (Q6067648) (← links)
• Type I multivariate zero‐inflated COM–Poisson regression model (Q6068483) (← links)
• Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway–Maxwell–Poisson distribution (Q6071003) (← links)
• The taxicab sampler: MCMC for discrete spaces with application to tree models (Q6074155) (← links)
• Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference (Q6094076) (← 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)
• Uniformly most powerful unbiased tests for the dispersion parameter of the Conway-Maxwell-Poisson distribution (Q6160852) (← links)
• A fast look-up method for Bayesian mean-parameterised Conway-Maxwell-Poisson regression models (Q6173562) (← links)
• Generalised likelihood profiles for models with intractable likelihoods (Q6190673) (← links)
• Bayesian inference, model selection and likelihood estimation using fast rejection sampling: the Conway-Maxwell-Poisson distribution (Q6201432) (← links)
• Retrospective sampling in MCMC with an application to COM-Poisson regression (Q6537800) (← links)
• Bayesian estimation and prediction for discrete Weibull distribution (Q6544217) (← links)
• Detecting shifts in Conway-Maxwell-Poisson profile with deviance residual-based CUSUM and EWMA charts under multicollinearity (Q6549151) (← links)
• A model calibration procedure for count response (Q6571745) (← links)
• Information initiatives of mobile retailers: a regression analysis of zero-truncated count data with underdispersion (Q6574646) (← links)
• Control charts based on randomized quantile residuals (Q6578135) (← links)
• Finite mixtures of mean-parameterized Conway-Maxwell-Poisson models (Q6579385) (← links)
• On the Conway-Maxwell-Poisson point process (Q6579738) (← links)
• Conway-Maxwell Poisson regression-based control charts under iterative Liu estimator for monitoring count data (Q6580732) (← links)
• Flexible joint modeling of mean and dispersion for the directional tuning of neuronal spike counts (Q6589288) (← links)
• Conway-Maxwell-Poisson regression models for dispersed count data (Q6602132) (← links)
• Zero-inflated modeling. I: Traditional zero-inflated count regression models, their applications, and computational tools (Q6602346) (← links)
• A longitudinal Bayesian mixed effects model with hurdle Conway-Maxwell-Poisson distribution (Q6627663) (← links)
• Zero-inflated Conway-Maxwell Poisson distribution to analyze discrete data (Q6636159) (← links)
• Double Poisson-Tweedie regression models (Q6637201) (← links)
• A flexible generalized Poisson likelihood for spatial counts constructed by renewal theory, motivated by groundwater quality assessment (Q6655997) (← links)
• Poisson-Birnbaum-Saunders regression model for clustered count data (Q6665516) (← links)