Bargain finder

Use this tool to find book bargains on Amazon Marketplace. It works best on the "my areas of interest" setting, but you need to specify your areas of interest first. You might also want to change your shopping locale (currently the US locale).

Note: the best bargains on this page tend to go fast; the prices shown can be inaccurate because of this.

Settings


 Area(s)

 Offer type

 Sort by
($)
 Max price
% off
 Min discount

 Min year

 Added since

 Pro authors only

 

  1. Lawrence Sklar (1993). Physics and Chance: Philosophical Issues in the Foundations of Statistical Mechanics. Cambridge University Press.
    Statistical mechanics is one of the crucial fundamental theories of physics, and in his new book Lawrence Sklar, one of the pre-eminent philosophers of physics, offers a comprehensive, non-technical introduction to that theory and to attempts to understand its foundational elements. Among the topics treated in detail are: probability and statistical explanation, the basic issues in both equilibrium and non-equilibrium statistical mechanics, the role of cosmology, the reduction of thermodynamics to statistical mechanics, and the alleged foundation of the very notion (...)
  2. Shoutir Kishore Chatterjee (2003). Statistical Thought: A Perspective and History. OUP Oxford.
    In this unique monograph, based on years of extensive work, Chatterjee presents the historical evolution of statistical thought from the perspective of various approaches to statistical induction. Developments in statistical concepts and theories are discussed alongside philosophical ideas on the ways we learn from experience.
  3. J. L. Mackie (1972). Truth, Probability and Paradox: Studies in Philosophical Logic. Oxford,Clarendon Press.
  4. Gerhard Ernst & Andreas Hüttemann (eds.) (2010). Time, Chance and Reduction: Philosophical Aspects of Statistical Mechanics. Cambridge University Press.
    Statistical mechanics attempts to explain the behaviour of macroscopic physical systems in terms of the mechanical properties of their constituents. Although it is one of the fundamental theories of physics, it has received little attention from philosophers of science. Nevertheless, it raises philosophical questions of fundamental importance on the nature of time, chance and reduction. Most philosophical issues in this domain relate to the question of the reduction of thermodynamics to statistical mechanics. This book addresses issues inherent in this reduction: (...)
    Direct download (3 more)  
     
    Export citation  
     
    My bibliography  
  5. John Leslie (1996). The End of the World: The Science and Ethics of Human Extinction. Routledge.
    Are we in imminent danger of extinction? Yes, we probably are, argues John Leslie in his chilling account of the dangers facing the human race as we approach the second millenium. The End of the World is a sobering assessment of the many disasters that scientists have predicted and speculated on as leading to apocalypse. In the first comprehensive survey, potential catastrophes - ranging from deadly diseases to high-energy physics experiments - are explored to help us understand the risks. One (...)
  6. René Carmona (ed.) (2008). Indifference Pricing: Theory and Applications. Princeton University Press.
    This is the first book about the emerging field of utility indifference pricing for valuing derivatives in incomplete markets.
  7. Richard Jeffrey (1983). The Logic of Decision. University of Chicago Press.
    "[This book] proposes new foundations for the Bayesian principle of rational action, and goes on to develop a new logic of desirability and probabtility."—Frederic Schick, _Journal of Philosophy_.
  8. Robert Prevost (1990). Probability and Theistic Explanation. Oxford University Press.
    In the past twenty years, interest in the epistemic status of religious belief has greatly increased. Leading this revival are the philosophers Basil Mitchell and Richard Swinburne, who believe that {eligious belief can be justified using inductive "best explanation" arguments. However, while Swinburne's approach is formal, using the calculus of Bayes Theorem, Mitchell's is informal, based on his recognition of judgment as central to such an assessment. This book is the first full length comparison of these two men and their (...)
  9. John L. Pollock (1990). Nomic Probability and the Foundations of Induction. Oxford University Press.
    In this book Pollock deals with the subject of probabilistic reasoning, making general philosophical sense of objective probabilities and exploring their ...
  10. John Earman (ed.) (1984). Testing Scientific Theories. Minneapolis: University of Minnesota Press.
    Rich with historical and cultural value, these works are published unaltered from the original University of Minnesota Press editions.
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  11. Jimmy H. Davis & Harry L. Poe (2008). Chance or Dance: An Evaluation of Design. Templeton Press.
    Chance or Dance is ideal for students and general readers interested in understanding how modern science gives evidence for the creation of nature by the God of the Bible.
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  12. Allan Combs (1996). Synchronicity: Science, Myth, and the Trickster. Marlowe & Co..
  13. Henry Ely Kyburg (ed.) (1980). Studies in Subjective Probability. Krieger.
  14. Joseph Y. Halpern (2003). Reasoning About Uncertainty. MIT Press.
  15. Isaac Levi (1967). Gambling with Truth. Cambridge,MIT Press.
  16. Michael Strevens (2003). Bigger Than Chaos: Understanding Complexity Through Probability. Harvard University Press.
    In this book, Michael Strevens aims to explain how simplicity can coexist with, indeed be caused by, the tangled interconnections between a complex system's ...
    Direct download (4 more)  
     
    Export citation  
     
    My bibliography   27 citations  
  17. Michael G. Titelbaum (2012). Quitting Certainties: A Bayesian Framework Modeling Degrees of Belief. Oxford University Press.
    Michael G. Titelbaum presents a new Bayesian framework for modeling rational degrees of belief—the first of its kind to represent rational requirements on agents who undergo certainty loss.
  18. Hugues Leblanc (1962). Statistical and Inductive Probabilities. Dover Publications.
    This evenhanded treatment addresses the decades-old dispute among probability theorists, asserting that both statistical and inductive probabilities may be treated as sentence-theoretic measurements, and that the latter qualify as estimates of the former. Beginning with a survey of the essentials of sentence theory and of set theory, the author examines statistical probabilities, showing that statistical probabilities may be passed on to sentences, and thereby qualify as truth-values. An exploration of inductive probabilities follows, demonstrating their reinterpretation as estimates of truth-values. Each (...)
    Direct download (4 more)  
     
    Export citation  
     
    My bibliography  
  19. Colin Howson & Peter Urbach (1993). Scientific Reasoning: The Bayesian Approach. Open Court.
  20. Karl R. Popper (1992). Quantum Theory and the Schism in Physics. Routledge.
    The basic theme of Popper's philosophy--that something can come from nothing--is related to the present situation in physical theory. Popper carries his investigation right to the center of current debate in quantum physics. He proposes an interpretation of physics--and indeed an entire cosmology--which is realist, conjectural, deductivist and objectivist, anti-positivist, and anti-instrumentalist. He stresses understanding, reminding us that our ignorance grows faster than our conjectural knowledge.
  21. Nicholas Rescher (1995). Luck: The Brilliant Randomness of Everyday Life. Farrar, Straus and Giroux.
    An esteemed American philosopher reflects on the nature of luck and its historical role in war, business, lotteries, and romance, and delineates the differences ...
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography   24 citations  
  22. John Maynard Keynes (1921). A Treatise on Probability. Dover Publications.
    With this treatise, an insightful exploration of the probabilistic connection between philosophy and the history of science, the famous economist breathed new life into studies of both disciplines. Originally published in 1921, this important mathematical work represented a significant contribution to the theory regarding the logical probability of propositions. Keynes effectively dismantled the classical theory of probability, launching what has since been termed the “logical-relationist” theory. In so doing, he explored the logical relationships between classifying a proposition as “highly probable” (...)
  23. A. J. Ayer (1972). Probability and Evidence. [London]Macmillan.
    A. J. Ayer was one of the foremost analytical philosophers of the twentieth century, and was known as a brilliant and engaging speaker. In essays based on his influential Dewey Lectures, Ayer addresses some of the most critical and controversial questions in epistemology and the philosophy of science, examining the nature of inductive reasoning and grappling with the issues that most concerned him as a philosopher. This edition contains revised and expanded versions of the lectures and two additional essays. Ayer (...)
  24. Mark Battersby (2009). Is That a Fact?: A Field Guide for Evaluating Statistical and Scientific Information. Broadview Press.
    We are inundated by scientific and statistical information, but what should we believe? How much should we trust the polls on the latest electoral campaign? When a physician tells us that a diagnosis of cancer is 90% certain or a scientist informs us that recent studies support global warming, what should we conclude? How can we acquire reliable statistical information? Once we have it, how do we evaluate it? Despite the importance of these questions to our lives, many of us (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  25. Glenn Shafer (1976). A Mathematical Theory of Evidence. Princeton University Press.
  26. John Venn (1888). The Logic of Chance. Dover Publications.
    No mathematical background is necessary to appreciate this classic of probability theory, which remains unsurpassed in its clarity, readability, and sheer charm. Its author, British logician John Venn (1834-1923), popularized the famous Venn Diagrams that are commonly used in teaching elementary mathematics.
  27. Roger Andreas Fischer (2010). Vom Offenen Geschehen Und Seiner Bewältigung: Ein Essay. Centaurus.
  28. Isaac Levi (1980). The Enterprise of Knowledge: An Essay on Knowledge, Credal Probability, and Chance. The MIT Press.
    This major work challenges some widely held positions in epistemology - those of Peirce and Popper on the one hand and those of Quine and Kuhn on the other.
    Direct download (3 more)  
     
    Export citation  
     
    My bibliography   230 citations  
  29. Manfred Eigen (1981). Laws of the Game: How the Principles of Nature Govern Chance. Harper & Row.
    Using game theory and examples of actual games people play, Nobel laureate Manfred Eigen and Ruthild Winkler show how the elements of chance and rules underlie ...
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography   8 citations  
  30. Herbert Molderings (2010). Duchamp and the Aesthetics of Chance: Art as Experiment. Columbia University Press.
    Situating Duchamp firmly within the literature & philosophy of his time, Herbert Molderings recaptures the spirit of a frequently misread artist & his aesthetic of chance.
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  31. James Franklin (2009). What Science Knows: And How It Knows It. Encounter Books.
    In What Science Knows, the Australian philosopher and mathematician James Franklin explains in captivating and straightforward prose how science works its magic ...
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  32. Leonard J. Savage (1954). The Foundations of Statistics. Wiley Publications in Statistics.
  33. David J. Bartholomew (2008). God, Chance, and Purpose: Can God Have It Both Ways? Cambridge University Press.
    The thesis of this book is that chance is neither unreal nor non-existent but an integral part of God's creation.
  34. Mark de Rond & Iain Morley (eds.) (2010). Serendipity: Fortune and the Prepared Mind. Cambridge University Press.
    Machine generated contents note: Introduction. Fortune and the prepared mind Iain Morley and Mark de Rond; 1. The stratigraphy of serendipity Susan E. Alcock; 2. Understanding humans - serendipity and anthropology Richard Leakey; 3. HIV and the naked ape Robin Weiss; 4. Cosmological serendipity Simon Singh; 5. Serendipity in astronomy Andrew C. Fabian; 6. Serendipity in physics Richard Friend; 7. Liberalism and uncertainty Oliver Letwin; 8. The unanticipated pleasures of the writing life Simon Winchester.
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  35. Ernest Adams (1998). A Primer of Probability Logic. Stanford: Csli Publications.
    This book is meant to be a primer, that is, an introduction, to probability logic, a subject that appears to be in its infancy. Probability logic is a subject envisioned by Hans Reichenbach and largely created by Adams. It treats conditionals as bearers of conditional probabilities and discusses an appropriate sense of validity for arguments such conditionals, as well as ordinary statements as premisses. This is a clear well-written text on the subject of probability logic, suitable for advanced undergraduates or (...)
    Direct download  
     
    Export citation  
     
    My bibliography   43 citations  
  36. A. W. F. Edwards (1972). Likelihood. Cambridge [Eng.]University Press.
    Dr Edwards' stimulating and provocative book advances the thesis that the appropriate axiomatic basis for inductive inference is not that of probability, with its addition axiom, but rather likelihood - the concept introduced by Fisher as a measure of relative support amongst different hypotheses. Starting from the simplest considerations and assuming no more than a modest acquaintance with probability theory, the author sets out to reconstruct nothing less than a consistent theory of statistical inference in science.
    Direct download  
     
    Export citation  
     
    My bibliography   54 citations  
  37. David Bohm (1957). Causality and Chance in Modern Physics. University of Pennsylvania Press.
    CHAPTER ONE Causality and Chance in Natural Law. INTRODUCTION IN nature nothing remains constant. Everything is in a perpetual state of transformation, ...