Abstract
Various superpopulation models have been introduced in the previous two chapters. Most of the models considered assumed that the joint distribution of y belongs to a specified parametric family F. We also considered distribution-free models, which assumed only the existence of finite first two moments, as in the case of models SM1-SM6.
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© 1992 Springer-Verlag New York Inc.
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Bolfarine, H., Zacks, S. (1992). Bayes and Minimax Predictors. In: Prediction Theory for Finite Populations. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2904-9_4
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DOI: https://doi.org/10.1007/978-1-4612-2904-9_4
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-7713-2
Online ISBN: 978-1-4612-2904-9
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