Statements (29)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical analysis
|
| gptkbp:affiliatedWith |
Generalized Linear Model
|
| gptkbp:alternativeTo |
Negative Binomial Regression
|
| gptkbp:assumes |
Mean equals variance
|
| gptkbp:basedOn |
Poisson Distribution
|
| gptkbp:canBe |
Maximum Likelihood Estimation
Exposure time (offset variable) |
| gptkbp:extendsTo |
Quasi-Poisson Regression
Zero-inflated Poisson Regression |
| https://www.w3.org/2000/01/rdf-schema#label |
Poisson Regression
|
| gptkbp:introducedIn |
Early 20th century
|
| gptkbp:limitation |
Overdispersion
Zero-inflation |
| gptkbp:linkFunction |
Logarithm
|
| gptkbp:output |
Expected count
|
| gptkbp:parameter |
Rate parameter (lambda)
|
| gptkbp:relatedTo |
Log-linear Model
|
| gptkbp:requires |
Non-negative integer response variable
|
| gptkbp:software |
gptkb:Python
gptkb:SAS gptkb:Stata R |
| gptkbp:usedFor |
Modeling count data
Predicting event rates |
| gptkbp:usedIn |
gptkb:insurance
Ecology Epidemiology |
| gptkbp:bfsParent |
gptkb:Regression_Models
|
| gptkbp:bfsLayer |
7
|