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Data · dataset · 2014

Robust Inference in Generalized Linear Models

Listed in DataCite

Robust inference on the parameters in generalized linear models is performed using the weighted likelihood method.

Description

Two cases are considered: a case with replicated observations and a case with a single observation of the dependent variable for each combination of the explanatory variables. The first case is common in the design of experiments, while the second case arises in observational studies.

Theoretical and computational results on real datasets are presented and compared with other existing techniques.

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Medicine & Health
Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
DataCite10.6084/m9.figshare.145623612 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].fos:health-sciencessource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:mathematicssource · DataCiteconnector:datacite@1.0.0
concepts[field].local:field:medicine-healthmapping · DataCitevocabulary-mapper@1.0.0keywords['Medicine']
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