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  1. Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research.Martin Fishbein & Icek Ajzen - 1977 - Philosophy and Rhetoric 10 (2):130-132.
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  • (1 other version)A conceptual and (preliminary) normative exploration of waste.Andrew Jason Cohen - 2010 - Social Philosophy and Policy 27 (2):233-273.
    In this paper, I first argue that waste is best understood as (a) any process wherein something useful becomes less useful and that produces less benefit than is lost—where benefit and usefulness are understood with reference to the same metric—or (b) the result of such a process. I next argue for the immorality of waste. My concluding suggestions are that (W1) if one person needs something for her preservation and a second person has it, is avoidably wasting it, and refuses (...)
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  • Scientific reasoning: the Bayesian approach.Peter Urbach & Colin Howson - 1993 - Chicago: Open Court. Edited by Peter Urbach.
    Scientific reasoning is—and ought to be—conducted in accordance with the axioms of probability. This Bayesian view—so called because of the central role it accords to a theorem first proved by Thomas Bayes in the late eighteenth ...
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  • Evidence and experimental design in sequential trials.Jan Sprenger - 2009 - Philosophy of Science 76 (5):637-649.
    To what extent does the design of statistical experiments, in particular sequential trials, affect their interpretation? Should postexperimental decisions depend on the observed data alone, or should they account for the used stopping rule? Bayesians and frequentists are apparently deadlocked in their controversy over these questions. To resolve the deadlock, I suggest a three‐part strategy that combines conceptual, methodological, and decision‐theoretic arguments. This approach maintains the pre‐experimental relevance of experimental design and stopping rules but vindicates their evidential, postexperimental irrelevance. †To (...)
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  • Does “Ought” Imply “Feasible”?Nicholas Southwood - 2016 - Philosophy and Public Affairs 44 (1):7-45.
    Many of us feel internally conflicted in the face of certain normative claims that make infeasible demands: say, normative claims that demand that agents do what, given deeply entrenched objectionable character traits, they cannot bring themselves to do. On the one hand, such claims may seem false on account of demanding the infeasible, and insisting otherwise may seem to amount to objectionable unworldliness – to chasing “pies in the sky.” On the other hand, such claims may seem true in spite (...)
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  • Hypothesis Testing, “Dutch Book” Arguments, and Risk.Daniel Malinsky - 2015 - Philosophy of Science 82 (5):917-929.
    “Dutch Book” arguments and references to gambling theorems are typical in the debate between Bayesians and scientists committed to “classical” statistical methods. These arguments have rarely convinced non-Bayesian scientists to abandon certain conventional practices, partially because many scientists feel that gambling theorems have little relevance to their research activities. In other words, scientists “don’t bet.” This article examines one attempt, by Schervish, Seidenfeld, and Kadane, to progress beyond such apparent stalemates by connecting “Dutch Book”–type mathematical results with principles actually endorsed (...)
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  • The likelihood principle and the reliability of experiments.Andrew Backe - 1999 - Philosophy of Science 66 (3):361.
    The likelihood principle of Bayesian statistics implies that information about the stopping rule used to collect evidence does not enter into the statistical analysis. This consequence confers an apparent advantage on Bayesian statistics over frequentist statistics. In the present paper, I argue that information about the stopping rule is nevertheless of value for an assessment of the reliability of the experiment, which is a pre-experimental measure of how well a contemplated procedure is expected to discriminate between hypotheses. I show that, (...)
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  • Persistent Experimenters, Stopping Rules, and Statistical Inference.Katie Steele - 2013 - Erkenntnis 78 (4):937-961.
    This paper considers a key point of contention between classical and Bayesian statistics that is brought to the fore when examining so-called ‘persistent experimenters’—the issue of stopping rules, or more accurately, outcome spaces, and their influence on statistical analysis. First, a working definition of classical and Bayesian statistical tests is given, which makes clear that (1) once an experimental outcome is recorded, other possible outcomes matter only for classical inference, and (2) full outcome spaces are nevertheless relevant to both the (...)
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  • A bayesian way to make stopping rules matter.Daniel Steel - 2003 - Erkenntnis 58 (2):213--227.
    Disputes between advocates of Bayesians and more orthodox approaches to statistical inference presuppose that Bayesians must regard must regard stopping rules, which play an important role in orthodox statistical methods, as evidentially irrelevant.In this essay, I show that this is not the case and that the stopping rule is evidentially relevant given some Bayesian confirmation measures that have been seriously proposed. However, I show that accepting a confirmation measure of this sort comes at the cost of rejecting two useful ancillaryBayesian (...)
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  • (1 other version)A Rate of Incoherence Applied to Fixed‐Level Testing.Mark J. Schervish, Teddy Seidenfeld & Joseph B. Kadane - 2002 - Philosophy of Science 69 (S3):S248-S264.
    It has long been known that the practice of testing all hypotheses at the same level , regardless of the distribution of the data, is not consistent with Bayesian expected utility maximization. According to de Finetti’s “Dutch Book” argument, procedures that are not consistent with expected utility maximization are incoherent and they lead to gambles that are sure to lose no matter what happens. In this paper, we use a method to measure the rate at which incoherent procedures are sure (...)
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  • Gravity waves and neutrinos: The later work of Joseph Weber.Allan Franklin - 2010 - Perspectives on Science 18 (2):pp. 119-151.
    How does the physics community deal with the subsequent work of a scientist whose earlier work has been regarded as incorrect? An interesting case of this involves Joseph Weber whose claim to have observed gravitational waves was rejected by virtually all of the physics community, although Weber himself continued to defend his work until his death in 2000. In the course of this defense Weber made a startling suggestion regarding the scattering of neutrinos. I will summarize the history of gravity (...)
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  • (1 other version)A rate of incoherence applied to fixed-level testing.Mark J. Schervish, Teddy Seidenfeld & Joseph B. Kadane - 2002 - Proceedings of the Philosophy of Science Association 2002 (3):S248-S264.
    It has long been known that the practice of testing all hypotheses at the same level , regardless of the distribution of the data, is not consistent with Bayesian expected utility maximization. According to de Finetti’s “Dutch Book” argument, procedures that are not consistent with expected utility maximization are incoherent and they lead to gambles that are sure to lose no matter what happens. In this paper, we use a method to measure the rate at which incoherent procedures are sure (...)
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  • (1 other version)Evidence.Thomas Kelly - 2006 - Philosophy Compass.
    The concept of evidence is central to both epistemology and the philosophy of science. Of course, ‘evidence’ is hardly a philosopher's term of art: it is not only, or even primarily, philosophers who routinely speak of evidence, but also lawyers and judges, historians and scientists, investigative journalists and reporters, as well as the members of numerous other professions and ordinary folk in the course of everyday life. The concept of evidence would thus seem to be on firmer pre-theoretical ground than (...)
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  • Counting experiments.Jonathan Livengood - 2017 - Philosophical Studies 176 (1):175-195.
    In this paper, I show how one might resist two influential arguments for the Likelihood Principle by appealing to the ontological significance of creative intentions. The first argument for the Likelihood Principle that I consider is the argument from intentions. After clarifying the argument, I show how the key premiss in the argument may be resisted by maintaining that creative intentions sometimes independently matter to what experiments exist. The second argument that I consider is Gandenberger’s :475–503, 2015) rehabilitation of Birnbaum’s (...)
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  • The Logic of Statistical Inference1. [REVIEW]G. A. Barnard - 1972 - British Journal for the Philosophy of Science 23 (2):123-132.
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  • Review. [REVIEW]Barry Gower - 1997 - British Journal for the Philosophy of Science 48 (1):555-559.
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  • How to avoid the experimenters' regress.Allan Franklin - 1994 - Studies in History and Philosophy of Science Part A 25 (3):463-491.
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  • Bayesianism versus falsificationism. [REVIEW]Donald Gillies - 1990 - Ratio 3 (1):82-98.
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  • [Book review] basic concepts of criminal law. [REVIEW]George P. Fletcher - 1999 - Criminal Justice Ethics 18 (2):58-67.
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  • (2 other versions)Error and the growth of experimental knowledge.Deborah Mayo - 1996 - International Studies in the Philosophy of Science 15 (1):455-459.
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  • On the Foundations of Statistical Inference.Allan Birnbaum - 1962 - Journal of the American Statistical Association 57 (298):269--306.
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