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Probability Theory: The Logic of Science af…
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Probability Theory: The Logic of Science (udgave 2003)

af E. T. Jaynes, G. Larry Bretthorst (Redaktør)

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248281,696 (4.17)Ingen
The standard rules of probability can be interpreted as uniquely valid principles in logic. In this book, E. T. Jaynes dispels the imaginary distinction between 'probability theory' and 'statistical inference', leaving a logical unity and simplicity, which provides greater technical power and flexibility in applications. This book goes beyond the conventional mathematics of probability theory, viewing the subject in a wider context. New results are discussed, along with applications of probability theory to a wide variety of problems in physics, mathematics, economics, chemistry and biology. It contains many exercises and problems, and is suitable for use as a textbook on graduate level courses involving data analysis. The material is aimed at readers who are already familiar with applied mathematics at an advanced undergraduate level or higher. The book will be of interest to scientists working in any area where inference from incomplete information is necessary.… (mere)
Medlem:tripijb
Titel:Probability Theory: The Logic of Science
Forfattere:E. T. Jaynes
Andre forfattere:G. Larry Bretthorst (Redaktør)
Info:Cambridge University Press (2003), Hardcover, 758 pages
Samlinger:Dit bibliotek
Vurdering:****
Nøgleord:Ingen

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Probability Theory: The Logic of Science af E. T. Jaynes

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Possibly the single most important book I have ever read. It is impossible to agree with Jaynes in every respect but equally every point he raises is fundamental to the use of statistics in science. Anyone educated in the axiomatic tradition needs to read this. ( )
  cbwkay | Dec 8, 2008 |
A polemical math book.
  leeinaustin | Mar 1, 2008 |
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The standard rules of probability can be interpreted as uniquely valid principles in logic. In this book, E. T. Jaynes dispels the imaginary distinction between 'probability theory' and 'statistical inference', leaving a logical unity and simplicity, which provides greater technical power and flexibility in applications. This book goes beyond the conventional mathematics of probability theory, viewing the subject in a wider context. New results are discussed, along with applications of probability theory to a wide variety of problems in physics, mathematics, economics, chemistry and biology. It contains many exercises and problems, and is suitable for use as a textbook on graduate level courses involving data analysis. The material is aimed at readers who are already familiar with applied mathematics at an advanced undergraduate level or higher. The book will be of interest to scientists working in any area where inference from incomplete information is necessary.

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