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Buddhist logic. --- Inference. --- Logique bouddhique --- Inférence (Logique) --- Knowledge, Theory of (Buddhism) --- Perception (Philosophy) --- Dignāga, --- Knowledge, Theory of (Buddhism). --- Perception (Philosophy). --- Inférence (Logique) --- Buddhist logic --- Inference --- Philosophy --- Buddhist epistemology --- Theory of knowledge (Buddhism) --- Buddhism --- Buddhist philosophy --- Ampliative induction --- Induction, Ampliative --- Inference (Logic) --- Reasoning --- Logic, Buddhist --- Doctrines --- Dignāga,
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Mathematical statistics --- Mathematical statistics. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical methods
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Life is a chancy proposition: from the movement of molecules to the age at which we die, chance plays a key role in the natural world. Traditionally, biologists have viewed the inevitable "noise" of life as an unfortunate complication. The authors of this book, however, treat random processes as a benefit. In this introduction to chance in biology, Mark Denny and Steven Gaines help readers to apply the probability theory needed to make sense of chance events--using examples from ocean waves to spiderwebs, in fields ranging from molecular mechanics to evolution. Through the application of probability theory, Denny and Gaines make predictions about how plants and animals work in a stochastic universe. Is it possible to pack a variety of ion channels into a cell membrane and have each operate at near-peak flow? Why are our arteries rubbery? The concept of a random walk provides the necessary insight. Is there an absolute upper limit to human life span? Could the sound of a cocktail party burst your eardrums? The statistics of extremes allows us to make the appropriate calculations. How long must you wait to see the detail in a moonlit landscape? Can you hear the noise of individual molecules? The authors provide answers to these and many other questions. After an introduction to the basic statistical methods to be used in this book, the authors emphasize the application of probability theory to biology rather than the details of the theory itself. Readers with an introductory background in calculus will be able to follow the reasoning, and sets of problems, together with their solutions, are offered to reinforce concepts. The use of real-world examples, numerous illustrations, and chapter summaries--all presented with clarity and wit--make for a highly accessible text. By relating the theory of probability to the understanding of form and function in living things, the authors seek to pique the reader's curiosity about statistics and provide a new perspective on the role of chance in biology.
Biomathematics. --- Probabilities. --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Biology
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Lexicology. Semantics --- Pragmatics --- Discourse analysis. --- Rhetoric. --- Analyse du discours --- Rhétorique --- Enthymeme (Logique) --- Inference (Logique) --- Connotation (Linguistique) --- Syllogisme --- Rhétorique
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This work analyzes biological functions with the aim of understanding how a biological system is organized. It aims to provide a conceptual framework and practical methods for the representation and computation of molecular networks.
Mathematical statistics. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical methods --- Genomes --- Medical informatics. --- Data processing.
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When John Maynard Keynes likened Jan Tinbergen's early work in econometrics to black magic and alchemy, he was expressing a widely held view of a new discipline. However, even after half a century of practical work and theorizing by some of the most accomplished social scientists, Keynes' comments are still repeated today. This book assesses the foundations and development of econometrics and sets out a basis for the reconstruction of the foundations of econometric inference by examining the various interpretations of probability theory which underlie econometrics. Keuzenkamp claims that the probabilistic foundations of econometrics are weak, and although econometric inferences may yield interesting knowledge, claims to be able to falsify or verify economic theories are unwarranted. Methodological falsificationism in econometrics is an illusion. Instead, it is argued, econometrics should locate itself in the tradition of positivism.
Probability theory --- Quantitative methods (economics) --- Econometrics --- Probabilities --- Econometrics. --- Probabilities. --- Business, Economy and Management --- Economics --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Economics, Mathematical --- Statistics
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Programming --- Quantitative methods in social research --- Mathematical statistics --- Data processing. --- -519.5 --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Data processing --- Statistical methods --- Stata.
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Robert Brandom (1950- ), qui enseigne à l'université de Pittsburgh, est l'un des plus importants philosophes américains contemporains. Elève de Wilfrid Sellars et de Richard Rorty, il est l'auteur d'une oeuvre originale qui s'inspire à la fois de la tradition analytique de la philosophie du langage et de la logique, ainsi que de la tradition kantienne et post-kantienne de la philosophie allemande, et qui, en même temps, cherche à renouveler la philosophie pragmatiste américaine. L'originalité de Brandom tient au fait qu'il est capable de dialoguer à la fois avec l'école classique de philosophie analytique et avec le mouvement contemporain qui vise à intégrer les apports de la philosophie du langage à la tradition " continentale ", via les oeuvres de K. O. Apel ou de J. Habermas. Brandom reprend aussi certains thèmes classiques du pragmatisme, dans une tradition sans doute plus proche de celle de Dewey et de Mead que de celle de Peirce ou de James. Comme il s'est, en outre, recommandé de Hegel et propose une intéressante relecture de la grande tradition idéaliste allemande en philosophie, on mesurera toute son originalité. Quoi qu'on pense de ces tentatives d'intégration des traditions multiples de la philosophie contemporaine, Brandom a proposé ainsi une plate-forme d'une grande richesse pour la discussion, que les diverses parties ont plutôt intérêt à considérer qu'à ignorer. L'Articulation des raisons est un recueil d'essais qui constitue la meilleure introduction possible à l'oeuvre de Brandom. Il y expose sa conception inférentialiste du sens des mots et des concepts, sa théorie des normes et du raisonnement pratique, sa théorie de la connaissance, sa théorie sociale de la représentation, et sa conception normative de la rationalité. On appréciera par-dessus tout le fait que, tout en mettant ses travaux sous l'invocation de la philosophie allemande, Brandom est un philosophe essentiellement américain, au moins au sens suivant : il prend le risque d'avoir tort. Au lecteur, s'il veut relever le gant, de juger et de se faire philosophe, en articulant ses raisons, quitte à devoir en rabattre quant à ses prétentions.
Expression (Philosophy) --- Inference --- Language and languages --- -Language and logic --- Reasoning --- Semantics (Philosophy) --- Intension (Philosophy) --- Logical semantics --- Semantics (Logic) --- Semeiotics --- Significs --- Syntactics --- Unified science --- Argumentation --- Ratiocination --- Ampliative induction --- Induction, Ampliative --- Inference (Logic) --- Self-expression --- Foreign languages --- Languages --- Linguistics and logic --- Logic in language --- Philosophy --- Language and logic --- Logic, Symbolic and mathematical --- Logical positivism --- Meaning (Psychology) --- Philosophy, Modern --- Semiotics --- Signs and symbols --- Symbolism --- Analysis (Philosophy) --- Definition (Philosophy) --- Reason --- Thought and thinking --- Judgment (Logic) --- Logic --- Semantics --- Lexicology. Semantics --- Philosophy of language --- Language and logic. --- Expression (Philosophy). --- Inference. --- Reasoning. --- Semantics (Philosophy). --- Langage et langues --- Sémantique (Philosophie) --- Inférence (Logique) --- Raisonnement --- Langage et logique --- Expression (Philosophie) --- Philosophy. --- Philosophie --- Inférence --- Philosophie du langage --- Signification (philosophie)
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The authors of this text seek to clarify mechanical fatigue and design problems by applying probability and computer analysis, and further extending the uses of probability to determine mechanical reliability and achieve optimization. The work solves examples using commercially available software. It is formatted with examples and problems for use in a one-semester graduate course.
Probabilities. --- Machine design --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Machinery --- Engineering design --- Statistical methods. --- Design --- Design and construction
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This paper analyzes the stochastic inventory control problem when the demand distribution is not known. In contrast to previous Bayesian inventory models, this paper adopts a non-parametric Bayesian approach in which the firm’s prior information is characterized by a Dirichlet process prior. This provides considerable freedom in the specification of prior information about demand and it permits the accommodation of fixed order costs. As information on the demand distribution accumulates, optimal history-dependent (s,S) rules are shown to converge to an (s,S) rule that is optimal when the underlying demand distribution is known.
Econometrics --- Investments: Stocks --- Bayesian Analysis: General --- Pension Funds --- Non-bank Financial Institutions --- Financial Instruments --- Institutional Investors --- Bayesian inference --- Investment & securities --- Bayesian models --- Stocks --- Econometric models
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