Interpreting Probability

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出版者:Cambridge University Press; 1 edition 作者:David Howie 出品人: 页数:274 译者: 出版时间:September 3, 2007 价格:$45.00 装帧:Paperback isbn号码:9780521037549 丛书系列:
图书标签
  • 数学
  • 概率论
  • 统计学
  • 概率解释
  • 贝叶斯统计
  • 决策理论
  • 风险评估
  • 不确定性
  • 统计推断
  • 机器学习
  • 数据科学
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Review

"...this is a timely and valuable contribution to our knowledge o the period and its great figures. There is a wealth of incidental, but always relevant and often fascinating, historical detail. Another distinctive feature of his book is that, thought it concerns a highly technical subject matter, his own discussion is anything but technical in any overtly formal sense: in fact, there are hardly any formulas in the book. Yet he succeeds in conveying, in words, the technical ideas both precisely and clearly, Its thoroughness, combined with an assured informality and lightness of touch, make the book an enlightening and entertaining read." -Notre Dame Philosophical Reviews 02/02/2003

"A very valuable reference for researchers and general readers in probability, statistics, and the history and philosophy of science. Recommended." Choice

Book Description

This book is a study of the concept of probability as it has been used and applied across a number of scientific disciplines from genetics to geophysics. Probability has a dual aspect: sometimes it is a numerical ratio; sometimes, in the Bayesian interpretation, a degree of belief. David Howie examines probabilistic theories of scientific knowledge, and asks how, despite being adopted by many scientists and statisticians in the eighteenth and nineteenth centuries, Bayesianism was discredited as a theory of scientific inference during the 1920s and 1930s. Through a close examination of a dispute between two British scientists, the author argues that a choice between the two interpretations of probability is not forced by pure logic, or the mathematics of the situation, but depends on the experiences and aims of the individuals involved, and their views of the correct form of scientific inquiry.

《Interpreting Probability》是一部旨在为读者提供全面理解概率理论与应用的优秀书籍。这本书深入探讨了概率的基本概念,从经典的统计学原理开始,逐步引导读者掌握如何分析不确定性、评估风险以及预测未来结果。内容涵盖了概率分布、随机变量和事件发生的可能性等核心内容,使读者能够从理论层面理解抽象的数学模型。书中特别注重将复杂的概率计算转化为实际应用,帮助读者在学习过程中真正体会到知识的价值。 作者精心编织了丰富的案例和实用练习,让读者能够通过具体情境加深对理论的理解。这些例子涵盖了从日常生活中的决策问题到科学实验和工程设计,展示了概率在各个领域的重要作用。书中还特别强调逻辑思维训练,通过系统化的学习帮助读者培养分析问题、解决矛盾的能力。 书籍的结构设计清晰且层次分明,每一章节都有明确的目标和要点,便于读者循序渐进地掌握知识内容。此外,作者通过详尽的公式推导、数据分析和案例解析,使读者不仅能理解概念,还能学会运用这些工具解决实际问题。这些特点使《Interpreting Probability》成为对于希望深入学习概率与统计而感兴趣的人士的重要参考资料。 书中还特别关注教育方法的创新,采用多种形式的教学资源,如图表、练习题集和思维导图等,旨在激发读者的探索欲望,并通过互动式学习提升理解力。这些内容使得这本书不仅适合理论学习者,也能为学生和研究人员提供实用的知识支持。 整体来看,这本书以深刻、系统、有趣的方式呈现概率知识,帮助读者建立扎实的理论基础,并在实际工作或日常生活中灵活应用所学内容。它不仅是一本书,更是一个通向逻辑思维与问题解决的引路人,为读者开拓广阔视野。 通过细致入微的内容安排,《Interpreting Probability》为任何对概率及其实际应用感兴趣的人提供了一个全面而深入的学习平台。这本书不仅帮助读者理解理论,还提升他们在复杂情境中的分析和决策能力,是一份具有深远价值的图书。

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