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Rethinking the Foundations of Statistics (Cambridge Studies in Probability, Induction and Decision T 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Rethinking the Foundations of Statistics (Cambridge Studies in Probability, Induction and Decision T
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Joseph B. Kadane 作者
Cambridge University Press
譯者
1999-08-13 出版日期
398 頁數
USD 44.99 價格
Hardcover
叢書系列
9780521640114 圖書編碼

Rethinking the Foundations of Statistics (Cambridge Studies in Probability, Induction and Decision T 在線電子書 圖書標籤: 統計學  科學哲學   

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Rethinking the Foundations of Statistics (Cambridge Studies in Probability, Induction and Decision T 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Rethinking the Foundations of Statistics (Cambridge Studies in Probability, Induction and Decision T 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Rethinking the Foundations of Statistics (Cambridge Studies in Probability, Induction and Decision T 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


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Rethinking the Foundations of Statistics (Cambridge Studies in Probability, Induction and Decision T 在線電子書 著者簡介

Rethinking the Foundations of Statistics (Cambridge Studies in Probability, Induction and Decision T 在線電子書 著者簡介

Rethinking the Foundations of Statistics (Cambridge Studies in Probability, Induction and Decision T 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Rethinking the Foundations of Statistics (Cambridge Studies in Probability, Induction and Decision T 在線電子書 圖書描述

This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic of the collection is understanding how the norms for Bayesian decision making should apply in settings with more than one rational decision maker and then tracing out some of the consequences of this turn for Bayesian statistics. There are four principal themes to the collection: cooperative, non-sequential decisions; the representation and measurement of 'partially ordered' preferences; non-cooperative, sequential decisions; and pooling rules and Bayesian dynamics for sets of probabilities. The volume will be particularly valuable to philosophers concerned with decision theory, probability, and statistics, statisticians, mathematicians, and economists.

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