Abstract
Decision theory, as the name implies, is concerned with the problem of making decisions. Statistical decision theory is concerned with the making of decisions in the presence of statistical knowledge which sheds light on some of the uncertainties involved in the decision problem. We will, for the most part, assume that these uncertainties can be considered to be unknown numerical quantities, and will represent them by θ (possibly a vector or matrix).
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© 1985 Springer Science+Business Media New York
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Berger, J.O. (1985). Basic Concepts. In: Statistical Decision Theory and Bayesian Analysis. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-4286-2_1
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DOI: https://doi.org/10.1007/978-1-4757-4286-2_1
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-3074-3
Online ISBN: 978-1-4757-4286-2
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