| 书目名称 | Statistical Decision Theory | | 副标题 | Foundations, Concept | | 编辑 | James O. Berger | | 视频video | | | 丛书名称 | Springer Series in Statistics | | 图书封面 |  | | 描述 | Decision theory is generally taught in one of two very different ways. When of opti taught by theoretical statisticians, it tends to be presented as a set of mathematical techniques mality principles, together with a collection of various statistical procedures. When useful in establishing the optimality taught by applied decision theorists, it is usually a course in Bayesian analysis, showing how this one decision principle can be applied in various practical situations. The original goal I had in writing this book was to find some middle ground. I wanted a book which discussed the more theoretical ideas and techniques of decision theory, but in a manner that was constantly oriented towards solving statistical problems. In particular, it seemed crucial to include a discussion of when and why the various decision prin ciples should be used, and indeed why decision theory is needed at all. This original goal seemed indicated by my philosophical position at the time, which can best be described as basically neutral. I felt that no one approach to decision theory (or statistics) was clearly superior to the others, and so planned a rather low key and impartial presentation of the com | | 出版日期 | Book 19801st edition | | 关键词 | Analysis; Bayessches Verfahren; Entscheidung; Entscheidung (Math; ); decision theory | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4757-1727-3 | | isbn_ebook | 978-1-4757-1727-3Series ISSN 0172-7397 Series E-ISSN 2197-568X | | issn_series | 0172-7397 | | copyright | Springer Science+Business Media New York 1980 |
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发表于 2025-3-21 17:36:44
