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Two sided analysis of variance with a latent time series.

Abstract:

Many real life regression problems exhibit some kind of calender time dependency and it is often of interest to predict the behavior of the regression function along this calender time direction. This can be formulated as a regression model with an added latent time series and the task is to be able to analyse this series. In this paper we engage this through a two step procedure, firstly we treat the time dependent elements as parameters and estimate them in the two-sided analysis of varianc...

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Publisher:
Nuffield College (University of Oxford)
Host title:
Economics Group, Nuffield College, University of Oxford, Economics Papers
Series:
Economics Group, Nuffield College, University of Oxford, Economics Papers
Publication date:
2004-01-01
Language:
English
UUID:
uuid:a07f5867-9885-4a1c-a6d2-0b6967b63b9a
Local pid:
oai:economics.ouls.ox.ac.uk:11908
Deposit date:
2011-08-16

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