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Characterization of Best Model-Based Predictors in Survey Sampling

✍ Scribed by S. M. Tam


Book ID
124289450
Publisher
Oxford University Press
Year
1986
Tongue
English
Weight
956 KB
Volume
73
Category
Article
ISSN
0006-3444

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The problem of computing the mean squared error (MSE) of the best linear predictor (BLP) in finite discrete spectrum with an additive white noise models(FDSWNMs) for an observed time series is considered. This is done under the assumption that the corresponding vectors in models for finite observati