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1. |
Record Nr. |
UNISA996386862703316 |
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Autore |
Ross Alexander <1591-1654.> |
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Titolo |
Pansebeia, or, A view of all religions in the world [[electronic resource] ] : with the severall church-governments, from the creation, to these times : also, a discovery of all known heresies in all ages and places, and choice observations and reflections throughout the whole / / by Alexander Ross |
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Pubbl/distr/stampa |
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London, : Printed for John Saywell ..., 1658 |
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Edizione |
[The third edition, enlarged and perfected ... ; to which are annexed, The lives, actions, and ends of certain notorious hereticks ; with their effigies in copper-plates.] |
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Descrizione fisica |
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Soggetti |
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Religion |
Church history |
Anabaptists |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Advertisement: prelim. p. [3]-[4]. |
Imperfect: "The lives ... of certain notorious hereticks" with special t.p.: Apocalypsis, or, The revelation of certain notorious advancers of heresie. London, 1658, sometimes attributed to H.L. van Haestens, is missing in filmed copy. |
"An alphabetical table ..." [i.e. index]: p. [1]-[8] at end. |
Title partly transliterated from Greek. |
First edition, London, 1653. |
Reproduction of original in Huntington Library. |
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Sommario/riassunto |
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2. |
Record Nr. |
UNISA996207750003316 |
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Autore |
Bernardo J. M |
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Titolo |
Bayesian theory [[electronic resource] /] / JoseĢ M. Bernardo, Adrian F.M. Smith |
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Pubbl/distr/stampa |
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Chichester ; ; New York, : Wiley, c2000 |
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ISBN |
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1-282-30786-X |
9786612307867 |
0-470-31687-X |
0-470-31771-X |
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Descrizione fisica |
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1 online resource (611 p.) |
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Collana |
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Wiley series in probability and statistics |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Bayesian statistical decision theory |
Statistical decision |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Originally published: 1994. |
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Nota di bibliografia |
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Includes bibliographical references (p. [489]-554) and indexes. |
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Nota di contenuto |
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BAYESIAN THEORY; Contents; 1. INTRODUCTION; 1.1. Thomas Bayes; 1.2. The subjectivist view of probability; 1.3. Bayesian Statistics in perspective; 1.4. An overview of Bayesian Theory; 1.4.1. Scope; 1.4.2. Foundations; 1.4.3. Generalisations; 1.4.4. Modelling; 1.4.5. Inference; 1.4.6. Remodelling; 1.4.7. Basic formulae; 1.4.8. Non-Bayesian theories; 1.5. A Bayesian reading list; 2. FOUNDATIONS; 2.1. Beliefs and actions; 2.2. Decision problems; 2.2.1. Basic elements; 2.2.2. Formal representation; 2.3. Coherence and quantification; 2.3.1. Events, options and preferences |
2.3.2. Coherent preferences2.3.3. Quantification; 2.4. Beliefs and probabilities; 2.4.1. Representation of beliefs; 2.4.2. Revision of beliefs and Bayes' theorem; 2.4.3. Conditional independence; 2.4.4. Sequential revision of beliefs; 2.5. Actions and utilities; 2.5.1. Bounded sets of consequences; 2.5.2. Bounded decision problems; 2.5.3. General decision problems; 2.6. Sequential decision problems; 2.6.1. Complex decision problems; 2.6.2. Backward induction; 2.6.3. Design of experiments; 2.7. Inference and information; 2.7.1. Reporting beliefs as a decision problem |
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2.7.2. The utility of a probability distribution2.7.3. Approximation and discrepancy; 2.7.4. Information; 2.8. Discussion and further references; 2.8.1. Operational definitions; 2.8.2. Quantitative coherence theories; 2.8.3. Related theories; 2.8.4. Critical issues; 3. GENERALISATIONS; 3.1. Generalised representation of beliefs; 3.1.1. Motivation; 3.1.2. Countable additivity; 3.2. Review of probability theory; 3.2.1. Random quantities and distributions; 3.2.2. Some particular univariate distributions; 3.2.3. Convergence and limit theorems; 3.2.4. Random vectors, Bayes' theorem |
3.2.5. Some particular multivariate distributions3.3. Generalised options and utilities; 3.3.1. Motivation and preliminaries; 3.3.2. Generalised preferences; 3.3.3. The value of information; 3.4. Generalised information measures; 3.4.1. The general problem of reporting beliefs; 3.4.2. The utility of a general probability distribution; 3.4.3. Generalised approximation and discrepancy; 3.4.4. Generalised information; 3.5. Discussion and further references; 3.5.1. The role of mathematics; 3.5.2. Critical issues; 4. MODELLING; 4.1 Statistical models; 4.1.1. Beliefs and models |
4.2. Exchangeability and related concepts4.2.1. Dependence and independence; 4.2.2. Exchangeability and partial exchangeability; 4.3. Models via exchangeability; 4.3.1. The Bernoulli and binomial models; 4.3.2. The multinomial model; 4.3.3. The general model; 4.4. Models via invariance; 4.4.1. The normal model; 4.4.2. The multivariate normal model; 4.4.3. The exponential model; 4.4.4. The geometric model; 4.5. Models via sufficient statistics; 4.5.1. Summary statistics; 4.5.2. Predictive sufficiency and parametric sufficiency; 4.5.3. Sufficiency and the exponential family |
4.5.4. Information measures and the exponential family |
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Sommario/riassunto |
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This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development of the theory, which provides, in particular, a detailed discussion of the problem of specification of so-called prior ignorance . The work is written from the authors s committed Bayesian perspective, but an overview of non-Bayesian theories is also provided, and each chapter contains a wide-ranging critica |
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