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Probability theory and probability logic / P. Roeper and H. Leblanc.

By: Material type: TextTextSeries: Toronto studies in philosophyPublisher: Toronto, [Ontario] ; Buffalo, [New York] ; London, [England] : University of Toronto Press, 1999Copyright date: ©1999Description: 1 online resource (253 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781442678781 (e-book)
Subject(s): Genre/Form: Additional physical formats: Print version:: Probability theory and probability logic.DDC classification:
  • 121/.63 21
LOC classification:
  • BC141 .R647 1999
Online resources:
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Ebrary Online Books Ebrary Online Books Colombo Available CBEBK70003129
Ebrary Online Books Ebrary Online Books Jaffna Available JFEBK70003129
Ebrary Online Books Ebrary Online Books Kandy Available KDEBK70003129
Total holds: 0

Enhanced descriptions from Syndetics:

As a survey of many technical results in probability theory and probability logic, this monograph by two widely respected scholars offers a valuable compendium of the principal aspects of the formal study of probability.

Includes bibliographical references and indexes.

Description based on print version record.

Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

Reviews provided by Syndetics

CHOICE Review

This interesting and useful monograph for researchers, philosophers, and advanced graduate students by Roeper (philosophy, Australian National Univ.) and Leblanc (Universite de Quebec), well known for their contributions to studies concerning probability and logic, offers discussions on probability theory and probability logic. Part 1 provides a study of the logic of probability judgments and the logical relations among probability judgments encapsulated in systems of constraints. Probability functions are presented for propositional, infinitary, and quantificational logic. The authors also discuss at great length the relationship between relative and absolute probability functions, and provide representation of relative probability functions by absolute probability functions. Part 2, links between probability functions and semantic notions, treats absolute probability functions representing degrees of logical truth, relative probability functions representing degrees of logical consequence, absolute and relative probability functions for intuitionist logic. The presentation is marked with great clarity, and every topic is treated in considerable depth. All those interested in the theory of probability and probability logic will find this scholarly monograph very valuable and rewarding. Two appendixes; indexes of constraints and subjects; useful notes. Highly recommended. Graduate students and up. D. V. Chopra; Wichita State University

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