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Probability theory : the logic of science / E.T. Jaynes.

By: Contributor(s): Material type: TextTextPublication details: Cambridge : Cambridge University Press, 2003.Description: 650 pISBN:
  • 9780521592710:
  • 0521592712
Subject(s): DDC classification:
  • 519.2
LOC classification:
  • .J36 2003
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
Holdings
Item type Current library Call number Copy number Status Date due Barcode
General Lending Carlow Campus Library General Lending 519.2 (Browse shelf(Opens below)) 1 Available 46553

CW948

CW011, CW012, CW023, CW037, CW122

CW806

CW818

CW906

CW916

CW838

Includes bibliographical references and index.

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

68.36

CW936

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