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Author: Isidore Jacob Good
Publisher:
ISBN:
Category : Probabilities
Languages : en
Pages : 119
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Book Description
Author: Isidore Jacob Good
Publisher:
ISBN:
Category : Probabilities
Languages : en
Pages : 119
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Book Description
Author: Irving John Good
Publisher:
ISBN:
Category :
Languages : en
Pages : 119
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Book Description
Author: I. J. Good
Publisher:
ISBN:
Category :
Languages : en
Pages : 127
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Book Description
Author: Isidore Jacob Good
Publisher: Hassell Street Press
ISBN: 9781013791796
Category :
Languages : en
Pages : 136
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Book Description
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Author: Dale Griffin
Publisher:
ISBN:
Category : Confidence
Languages : en
Pages : 70
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Book Description
Author: Barron Brainerd
Publisher: University of Toronto Press
ISBN: 144265077X
Category : Language Arts & Disciplines
Languages : en
Pages : 362
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Book Description
In recent years, there has been a tremendous development in the area of quantitative and statistical analysis of linguistic and literary data, generated, no doubt, by extensive advances in computer technology and their relatively easy availability to scholars. However, except for a few rather specialized examples, there has been no truly introductory text in statistics and quantitative analysis devoted to the needs of language scholars. This work was written especially to fill the gap. It introduces a mathematically naïve reader to those statistical tools which are applicable in modern quantitative text and language analysis, and does this in terms of simple examples dealing exclusively with language and literature. Exercises are included throughout.
Author: Richard Jeffrey
Publisher: Cambridge University Press
ISBN: 9780521536684
Category : Mathematics
Languages : en
Pages : 144
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Book Description
Sample Text
Author: Daniel Kahneman
Publisher: Cambridge University Press
ISBN: 9780521284141
Category : Psychology
Languages : en
Pages : 574
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Book Description
Thirty-five chapters describe various judgmental heuristics and the biases they produce, not only in laboratory experiments, but in important social, medical, and political situations as well. Most review multiple studies or entire subareas rather than describing single experimental studies.
Author: Glenn Shafer
Publisher:
ISBN:
Category : Reasoning (Psychology)
Languages : en
Pages : 69
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Book Description
The assessment of probability on the basis of evidence is viewed as a thought experiment that yields an expression of degree of belief. Theories of subjective probability are viewed as tools or languages for analyzing evidence and expressing degree of belief. This article focuses on two probability languages: the classical Bayesian language and the language of belief functions. We describe and compare the semantics (i.e., the meaning of the scale) and the syntax (i.e., the formal calculus) of these languages. We also analyze the designs of thought experiments afforded by the two languages and discuss their implications. (Author).
Author: Glenn Shafer
Publisher: Princeton University Press
ISBN: 0691214697
Category : Mathematics
Languages : en
Pages :
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Book Description
Both in science and in practical affairs we reason by combining facts only inconclusively supported by evidence. Building on an abstract understanding of this process of combination, this book constructs a new theory of epistemic probability. The theory draws on the work of A. P. Dempster but diverges from Depster's viewpoint by identifying his "lower probabilities" as epistemic probabilities and taking his rule for combining "upper and lower probabilities" as fundamental. The book opens with a critique of the well-known Bayesian theory of epistemic probability. It then proceeds to develop an alternative to the additive set functions and the rule of conditioning of the Bayesian theory: set functions that need only be what Choquet called "monotone of order of infinity." and Dempster's rule for combining such set functions. This rule, together with the idea of "weights of evidence," leads to both an extensive new theory and a better understanding of the Bayesian theory. The book concludes with a brief treatment of statistical inference and a discussion of the limitations of epistemic probability. Appendices contain mathematical proofs, which are relatively elementary and seldom depend on mathematics more advanced that the binomial theorem.
