Hello,
not an Splus question but I thought that due to the collective knowledge of
this list I could try out a general statistical question! Here it goes.
In the past we modeled a measure, Ra say, with a linear model. Ra ~ B0 +
sum(Bi * Vi), for some variables Vi.
We now know that our measure would be more precise by adjusting it by an
amont Adj, say. Hence the new measure would be:
Rb = Ra * Adj
where Ra is modeled as before ans Adj is modeled as a glm with log link.
Adj ~ exp(C0 + sum(Ci * Vi)), for the same Vi variables as before.
Hence:
Rb ~ (B0 + sum(Bi * Vi)) * (exp(C0 + sum(Ci * Vi)))
The question: can the models be built independently or do we need
independence to do so??
Thanks for your insights,
Gérald Jean
Conseiller senior en statistiques,
VP Planification et Développement des Marchés,
Desjardins Groupe d'Assurances Générales
télephone : (418) 835-4900 poste (7639)
télecopieur : (418) 835-6657
courrier électronique: gerald.jean@dgag.ca
"In God we trust, all others must bring data" W. Edwards Deming
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