Claim · model-written summary
Poisson multiple regression gave the least precise fits for aphid density estimation in all cases.
- Outcome
- least precise fitse0
- Direction
- least precisee0
- Comparator
- Multiple regression with Poisson errorse0
Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValueQualifier
Verbatim
e0“Multiple regression with Poisson errors gave the least precise fits in all cases”
Title
Laurent Lapchin; Roger Boll; Jacques Rochat; et al. Environmental Entomology 1997. doi:10.1093/ee/26.4.736
Other claims from this paper (3)
- Method / resource Projection pursuit regression predicted aphid density slightly better than logistic regression.
- Method / resource Logistic regression accuracy was similar for reference and validation data.
- Method / resource Visual abundance estimates and explanatory variables in the projection pursuit model can estimate aphid densities.