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Probability theory : the logic of science / E.T. Jaynes ; edited by G. Larry Bretthorst.

By: Contributor(s): Material type: TextTextDescription: xxix, 727 pages ; 26 cmISBN:
  • 0521592712
  • 9780521592710
Subject(s): DDC classification:
  • 519.2 JAY
Contents:
Plausible reasoning -- The quantitative rules -- Elementary sampling theory -- Elementary hypothesis testing -- Queer uses for probability theory -- Elementary parameter estimation -- The central, Gaussian or normal distribution -- Sufficiency, ancillarity, and all that -- Repetitive experiments : probability and frequency -- Physics of 'random experiments' -- Discrete prior probabilities : the entropy principle -- Ignorance priors and transformation groups -- Decision theory, historical background -- Simple applications of decision theory -- Paradoxes of probability theory -- Orthodox methods : historical background -- Principles and pathology of orthodox statistics -- The Ap distribution and rule of succession -- Physical measurements -- Model comparison -- Outliers and robustness -- Introduction to communication theory.
Item type: Books
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Current library Call number Status Notes Barcode
Main Library Open Shelves 519.2 JAY (Browse shelf(Opens below)) Available material available in hard copy bsu25071663

"Reprinted with corrections 2004"

Includes bibliographical references (p. 705-720) and indexes.

Plausible reasoning -- The quantitative rules -- Elementary sampling theory -- Elementary hypothesis testing -- Queer uses for probability theory -- Elementary parameter estimation -- The central, Gaussian or normal distribution -- Sufficiency, ancillarity, and all that -- Repetitive experiments : probability and frequency -- Physics of 'random experiments' -- Discrete prior probabilities : the entropy principle -- Ignorance priors and transformation groups -- Decision theory, historical background -- Simple applications of decision theory -- Paradoxes of probability theory -- Orthodox methods : historical background -- Principles and pathology of orthodox statistics -- The Ap distribution and rule of succession -- Physical measurements -- Model comparison -- Outliers and robustness -- Introduction to communication theory.

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