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181   $ctxt$2rdacontent
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200 10$aProbability theory $ethe logic of science /$fE.T. Jaynes ; edited by G. Larry Bretthorst$b[electronic resource]
210  1$aCambridge :$cCambridge University Press,$d2003.
215   $a1 online resource (xxix, 727 pages) $cdigital, PDF file(s)
300   $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
311   $a0-521-59271-2 
320   $aIncludes bibliographical references (p. 705-720) and indexes.
327   $aCover; Half-title; Title; Copyright; Dedication; Contents; Editor's foreword; Preface; Part 1 Principles and elementary applications; Part 2 Advanced applications; Appendix A Other approaches to probability theory; Appendix B Mathematical formalities and style; Appendix C Convolutions and cumulants; References; Bibliography; Author index; Subject index
330   $aThe 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.
606   $aProbabilities
615  0$aProbabilities.
676   $a519.2
700   $aJaynes$b E. T$g(Edwin T.),$048009
702   $aBretthorst$b G. Larry
801  0$bUkCbUP
801  1$bUkCbUP
906   $aBOOK
912   $a9910450400703321
996   $aProbability theory$9672596
997   $aUNINA