Pages that link to "Item:Q3434155"
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The following pages link to A two-component model for counts of infectious diseases (Q3434155):
Displaying 17 items.
- Count data regression charts for the monitoring of surveillance time series (Q58319) (← links)
- Power-law models for infectious disease spread (Q58327) (← links)
- Comparing statistical models to predict dengue fever notifications (Q764204) (← links)
- A hierarchical Bayes approach to estimation and prediction for time series of counts (Q949179) (← links)
- Surveillance: An R package for the monitoring of infectious diseases (Q964643) (← links)
- Bayesian inference of nonlinear hysteretic integer-valued GARCH models for disease counts (Q1995836) (← links)
- Calibration tests for count data (Q2342870) (← links)
- Modeling seasonality in space-time infectious disease surveillance data (Q3145586) (← links)
- A statistical framework for the analysis of multivariate infectious disease surveillance counts (Q3413102) (← links)
- (Q4715600) (← links)
- Additive‐Multiplicative Regression Models for Spatio‐Temporal Epidemics (Q5123440) (← links)
- Multivariate outbreak detection (Q5126942) (← links)
- Time series modeling of pathogen‐specific disease probabilities with subsampled data (Q5347435) (← links)
- Bayesian analysis of a time series of counts with covariates: an application to the control of an infectious disease (Q5701116) (← links)
- Observation-driven exponential smoothing (Q6548905) (← links)
- An integer-valued time series model for multivariate surveillance (Q6627505) (← links)
- A binomial integer-valued ARCH model (Q6632742) (← links)
