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[null,"1.","Record Nr.",null,"UNINA990004902020403321"]
[null,null,"Autore",null,"Adams, Henry <1838-1918>"]
[null,null,"Titolo",null,"The education of Henry Adams : an autobiography / with a new introduction by Marion L. Starkey"]
[null,null,"Pubbl/distr/stampa",null,"New York : Time Incorporated, 1964"]
[null,null,"Descrizione fisica",null,"XXV, 261 p. ; 20 cm"]
[null,null,"Disciplina",null,"818.409"]
[null,null,"Locazione",null,"FLFBC"]
[null,null,"Collocazione",null,"818.409 ADA 1"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910457234603321"]
[null,null,"Autore",null,"Bulkowski Thomas N. <1957->"]
[null,null,"Titolo",null,"Encyclopedia of chart patterns [[electronic resource] /] / Thomas N. Bulkowski"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, NJ, : John Wiley, c2005"]
[null,null,"ISBN",null,"1-118-04585-8"]
[{"$nulls":4},"1-280-27588-X"]
[{"$nulls":4},"9786610275885"]
[{"$nulls":4},"0-471-72225-1"]
[null,null,"Edizione",null,"[2nd ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (xvii, 1012 pages : illustrations)"]
[null,null,"Collana",null,"Wiley Trading"]
[null,null,"Disciplina",null,"332.63/222"]
[null,null,"Soggetti",null,"Stocks"]
[{"$nulls":4},"Commodity futures"]
[{"$nulls":4},"Investment analysis"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,"Nota di contenuto",null,"Part One: Chart Patterns -- Part Two: Event Patterns -- Statistics Summary -- Glossary and Methodology."]
[null,null,null,"Sommario/riassunto","In this revised and expanded second edition of the bestselling Encyclopedia of Chart Patterns, Thomas Bulkowski updates the classic with new performance statistics for both bull and bear markets and 23 new patterns, including a second section devoted to ten event patterns. Bulkowski tells you how to trade the significant events -- such as quarterly earnings announcements, retail sales, stock upgrades and downgrades -- that shape today's trading and uses statistics to back up his approach. This comprehensive new edition is a must-have reference if you're a technical investor or trader.\"--Provided by publisher."]
[null,"3.","Record Nr.",null,"UNINA9910806181303321"]
[null,null,"Titolo",null,"Bayesian networks for probabilistic inference and decision analysis in forensic science / / Franco Taroni [and four others]"]
[null,null,"Pubbl/distr/stampa",null,"Chichester, England : , : Wiley, , 2014"]
[{"$nulls":4},"©2014"]
[null,null,"ISBN",null,"1-118-91476-7"]
[{"$nulls":4},"1-118-91475-9"]
[null,null,"Edizione",null,"[2nd ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (473 p.)"]
[null,null,"Collana",null,"Statistics in Practice"]
[null,null,"Disciplina",null,"363.2501/519542"]
[null,null,"Soggetti",null,"Bayesian statistical decision theory - Graphic methods"]
[{"$nulls":4},"Uncertainty (Information theory) - Graphic methods"]
[{"$nulls":4},"Forensic sciences - Graphic methods"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and indexes."]
[null,null,"Nota di contenuto",null,"Cover; Title Page; Copyright; Contents; Foreword; Preface to the second edition; Preface to the first edition; Chapter 1 The logic of decision; 1.1 Uncertainty and probability; 1.1.1 Probability is not about numbers, it is about coherent reasoning under uncertainty; 1.1.2 The first two laws of probability; 1.1.3 Relevance and independence; 1.1.4 The third law of probability; 1.1.5 Extension of the conversation; 1.1.6 Bayes' theorem; 1.1.7 Probability trees; 1.1.8 Likelihood and probability; 1.1.9 The calculus of (probable) truths; 1.2 Reasoning under uncertainty"]
[{"$nulls":4},"1.2.1 The Hound of the Baskervilles1.2.2 Combination of background information and evidence; 1.2.3 The odds form of Bayes' theorem; 1.2.4 Combination of evidence; 1.2.5 Reasoning with total evidence; 1.2.6 Reasoning with uncertain evidence; 1.3 Population proportions, probabilities and induction; 1.3.1 The statistical syllogism; 1.3.2 Expectations and population proportions; 1.3.3 Probabilistic explanations; 1.3.4 Abduction and inference to the best explanation; 1.3.5 Induction the Bayesian way; 1.4 Decision making under uncertainty; 1.4.1 Bookmakers in the Courtrooms?; 1.4.2 Utility theory"]
[{"$nulls":4},"1.4.3 The rule of maximizing expected utility1.4.4 The loss function; 1.4.5 Decision trees; 1.4.6 The expected value of information; 1.5 Further readings; Chapter 2 The logic of Bayesian networks and influence diagrams; 2.1 Reasoning with graphical models; 2.1.1 Beyond detective stories; 2.1.2 Bayesian networks; 2.1.3 A graphical model for "]
[{"$nulls":4},"relevance; 2.1.4 Conditional independence; 2.1.5 Graphical models for conditional independence: d-separation; 2.1.6 A decision rule for conditional independence; 2.1.7 Networks for evidential reasoning; 2.1.8 The Markov property; 2.1.9 Influence diagrams"]
[{"$nulls":4},"2.1.10 Conditional independence in influence diagrams2.1.11 Relevance and causality; 2.1.12 The Hound of the Baskervilles revisited; 2.2 Reasoning with Bayesian networks and influence diagrams; 2.2.1 Divide and conquer; 2.2.2 From directed to triangulated graphs; 2.2.3 From triangulated graphs to junction trees; 2.2.4 Solving influence diagrams; 2.2.5 Object-oriented Bayesian networks; 2.2.6 Solving object-oriented Bayesian networks; 2.3 Further readings; 2.3.1 General; 2.3.2 Bayesian networks and their predecessors in judicial contexts"]
[{"$nulls":4},"Chapter 3 Evaluation of scientific findings in forensic science3.1 Introduction; 3.2 The value of scientific findings; 3.3 Principles of forensic evaluation and relevant propositions; 3.3.1 Source level propositions; 3.3.1.1 Notation; 3.3.1.2 Single stain; 3.3.2 Activity level propositions; 3.3.2.1 Notation and formulaic development; 3.3.3 Crime level propositions; 3.3.3.1 Notation; 3.3.3.2 Association propositions; 3.3.3.3 Intermediate association propositions; 3.4 Pre-assessment of the case; 3.5 Evaluation using graphical models; 3.5.1 Introduction"]
[{"$nulls":4},"3.5.2 General aspects of the construction of Bayesian networks"]
[null,null,null,"Sommario/riassunto","\"\"This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation\"\"Dr. Ian Evett, Principal Forensic Services Ltd, London, UK  Continuing developments in science and technology mean that the amounts of information forensic scientists are able to provide for criminal investigations is ever increasing.  The commensurate increase in complexity creates difficulties for scientists and lawyers with regard to evaluation and interpretation, notably with respect to issues of inference and decision. Probability t"]