LEADER 00989nam0-22003611i-450 001 990001776920403321 005 20191112115313.0 035 $a000177692 035 $aFED01000177692 035 $a(Aleph)000177692FED01 035 $a000177692 100 $a20030910d1977----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aEreditą e comportamento$fMarco Poli, Marcello Cesa Bianchi 210 $aPadova$cPiccin$d1977 215 $a41 p.$d24 cm 225 1 $aQuaderni di biologia$iSerie rossa$v23 610 0 $aGenetica 676 $a575.1 700 1$aPoli,$bMarco$f<1942- >$0328624 701 1$aCesa-Bianchi,$bMarcello$f<1926- >$0331389 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 901 $aLG 912 $a990001776920403321 952 $a60 OP. 170/12$b3919$fFAGBC 952 $aD 3a 1$b1257/CB1$fDMBBM 959 $aFAGBC 959 $aDMBBM 996 $aEreditą e comportamento$9408897 997 $aUNINA LEADER 04172nam 22008174a 450 001 9910454531403321 005 20200520144314.0 010 $a1-60509-014-X 010 $a1-282-30012-1 010 $a1-57675-533-9 010 $a9786612300127 010 $a1-4356-9971-8 035 $a(CKB)1000000000721524 035 $a(SSID)ssj0000292905 035 $a(PQKBManifestationID)12124949 035 $a(PQKBTitleCode)TC0000292905 035 $a(PQKBWorkID)10272167 035 $a(PQKB)10292012 035 $a(SSID)ssj0000131681 035 $a(PQKBManifestationID)11142360 035 $a(PQKBTitleCode)TC0000131681 035 $a(PQKBWorkID)10016848 035 $a(PQKB)11121095 035 $a(MiAaPQ)EBC407844 035 $a(CaSebORM)9781576755334 035 $a(MiAaPQ)EBC479221 035 $a(Au-PeEL)EBL407844 035 $a(CaPaEBR)ebr10331480 035 $a(CaONFJC)MIL230012 035 $a(OCoLC)465077987 035 $a(Au-PeEL)EBL479221 035 $a(EXLCZ)991000000000721524 100 $a20070621d2007 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCracking the code$b[electronic resource] $ehow to win hearts, change minds, and restore America's original vision /$fby Thom Hartmann 205 $a1st edition 210 $aSan Francisco, Calif. $cBerrett-Koehler Publishers$dc2007 215 $a227 p 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a1-57675-458-8 311 $a1-57675-627-0 320 $aIncludes bibliographical references and index. 327 $aTelling your story -- Feeling comes first -- The meaning of a communication is the response you get -- The map is not the territory. 330 $aMillions of working Americans talk, act, and vote as if their economic interests match those of the megawealthy, the multinational corporations, and the politicians who do their bidding. How did this happen? Bestselling author Thom Hartmann says it's because the apologists of the Right have become masters of the subtle and largely subconscious aspects of political communication. It's not an escalation in Iraq, it's a surge; it's not the inheritance tax, it's the death tax; it's not drilling for oil, it's exploring for energy. Conservatives didn't intuit the path to persuasive messaging?they learned these techniques. There is no reason why progressives can't learn them too. In Cracking the Code, Hartmann shows you how. Drawing on his background as a psychotherapist and advertising executive as well as a nationally syndicated Air America radio host, he breaks down the science and technology of effective communication so you can apply it to your own efforts to counter right-wing disinformation. As Hartmann explains, political persuasion is as much about biology as ideology, about knowing how the brain processes information and how that influences the way people perceive messages, make decisions, and form a worldview. Throughout the book, he shows you precisely how to master this technology?how to crack the communications code?providing examples dating from the time of the Founding Fathers to the present day. 606 $aLiberalism$zUnited States 606 $aCommunication in politics$zUnited States 606 $aCommunication$xPsychological aspects 606 $aRadio personalities$zUnited States$vBiography 606 $aPsychotherapists$zUnited States$vBiography 607 $aUnited States$xPolitics and government$y2001-2009 607 $aUnited States$xPolitics and government$y20th century 607 $aUnited States$xPolitics and government$xPhilosophy 608 $aElectronic books. 615 0$aLiberalism 615 0$aCommunication in politics 615 0$aCommunication$xPsychological aspects. 615 0$aRadio personalities 615 0$aPsychotherapists 676 $a320.97301/4 700 $aHartmann$b Thom$f1951-$0850349 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910454531403321 996 $aCracking the code$92455656 997 $aUNINA LEADER 01468nas 2200433- 450 001 996320857503316 005 20200109061315.9 011 $a2381-2362 035 $a(OCoLC)922696797 035 $a(CKB)4100000008773338 035 $a(CONSER)--2015203539 035 $a(DE-599)ZDB3009713-7 035 $a(EXLCZ)994100000008773338 100 $a20151002a20169999 --- a 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aJournal of early hearing detection and intervention 210 1$aLogan, UT :$cNational Center for Hearing Assessment and Management at Utah State University,$d[2016-] 300 $aRefereed/Peer-reviewed 517 1 $aJEHDI 531 0 $aJ. early hear. detect. interv. 606 $aHearing disorders$vPeriodicals 606 $aHearing disorders$xDiagnosis$vPeriodicals 606 $aHearing disorders$2fast$3(OCoLC)fst00953415 606 $aHearing disorders$xDiagnosis$2fast$3(OCoLC)fst00953417 608 $aPeriodicals.$2fast 615 0$aHearing disorders 615 0$aHearing disorders$xDiagnosis 615 7$aHearing disorders. 615 7$aHearing disorders$xDiagnosis. 676 $a617.8 712 02$aNational Center for Hearing Assessment and Management (U.S.) 906 $aJOURNAL 912 $a996320857503316 996 $aJournal of early hearing detection and intervention$92576575 997 $aUNISA LEADER 01067nam a2200265 i 4500 001 991001478909707536 005 20020502194327.0 008 970612s1995 it ||| | ita 020 $a8820493780 035 $ab11518686-39ule_inst 035 $aPRUMB61823$9ExL 040 $aScuola per assistenti sociali$bita 100 1 $aCarrą Mittini, Elisabetta$0160841 245 10$aRelazioni familiari e adolescenza :$bsfide e risorse nella transizione all'etą adulta /$ca cura di Elisabetta Carrą, Elena Marta 260 $aMilano :$bF. 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Gendler and John Hawthorne 210 $aOxford $cClarendon Press ;$aOxford ;$aNew York $cOxford University Press$dc2007 215 $a1 online resource (223 p.) 300 $aDescription based upon print version of record. 311 $a0-19-923707-7 311 $a0-19-923706-9 320 $aIncludes bibliographical references and index. 327 $aContents; List of Figures; List of Contributors; PAPERS; 1 Does Murphy's Law Apply in Epistemology? Self-Doubt and Rational Ideals; 2 An Opinionated Guide to Epistemic Modality; 3 Epistemic Conservatism: Theft or Honest Toil?; 4 The Evolution of Irrationality: Insights from Non-Human Primates; 5 Basic Justification and the Moorean Response to the Skeptic; SYMPOSIUM; 6 Rational Credence and the Value of Truth; 7 Rationality and Self-Confidence; 8 A Note on Gibbard's ''Rational Credence and the Value of Truth''; 9 Aiming at Truth Over Time: Reply to Arntzenius and Swanson; Index; A; B; C; D; E 327 $aFG; H; I; J; K; L; M; N; O; P; Q; R; S; T; U; V; W; Y; Z; 330 $aOSE is a biennial publication which offers a regular snapshot of state-of-the-art work in this important field. Under the guidance of a distinguished editorial board, it will publish exemplary papers in epistemology, broadly construed. Anyone wanting to understand the latest developments in the discipline can start here. 606 $aKnowledge, Theory of 606 $aPhilosophy 615 0$aKnowledge, Theory of. 615 0$aPhilosophy. 676 $a121 701 $aGendler$b Tamar$01167998 701 $aHawthorne$b John$g(John P.)$0906387 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910781817703321 996 $aOxford studies in epistemology$93681740 997 $aUNINA LEADER 05632nam 22006734a 450 001 9910830922703321 005 20230617011807.0 010 $a1-280-26930-8 010 $a9786610269303 010 $a0-470-09259-9 010 $a0-470-09260-2 035 $a(CKB)111087027142156 035 $a(EBL)164885 035 $a(OCoLC)54357012 035 $a(SSID)ssj0000109295 035 $a(PQKBManifestationID)11138436 035 $a(PQKBTitleCode)TC0000109295 035 $a(PQKBWorkID)10045696 035 $a(PQKB)11616196 035 $a(MiAaPQ)EBC164885 035 $a(EXLCZ)99111087027142156 100 $a20030821d2004 uy 0 101 0 $aeng 181 $ctxt 182 $cc 183 $acr 200 10$aBayesian approaches to clinical trials and health care evaluation$b[electronic resource] /$fDavid J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles 210 $aChichester ;$aHoboken, NJ $cWiley$dc2004 215 $a1 online resource (408 p.) 225 1 $aStatistics in practice 300 $aDescription based upon print version of record. 311 $a0-471-49975-7 320 $aIncludes bibliographical references (p. 357-380) and index. 327 $aBayesian Approaches to Clinical Trials and Health-Care Evaluation; Contents; Preface; List of examples; 1 Introduction; 1.1 What are Bayesian methods?; 1.2 What do we mean by 'health-care evaluation'?; 1.3 A Bayesian approach to evaluation; 1.4 The aim of this book and the intended audience; 1.5 Structure of the book; 2 Basic Concepts from Traditional Statistical Analysis; 2.1 Probability; 2.1.1 What is probability?; 2.1.2 Odds and log-odds; 2.1.3 Bayes theorem for simple events; 2.2 Random variables, parameters and likelihood; 2.2.1 Random variables and their distributions 327 $a2.2.2 Expectation, variance, covariance and correlation 2.2.3 Parametric distributions and conditional independence; 2.2.4 Likelihoods; 2.3 The normal distribution; 2.4 Normal likelihoods; 2.4.1 Normal approximations for binary data; 2.4.2 Normal likelihoods for survival data; 2.4.3 Normal likelihoods for count responses; 2.4.4 Normal likelihoods for continuous responses; 2.5 Classical inference; 2.6 A catalogue of useful distributions*; 2.6.1 Binomial and Bernoulli; 2.6.2 Poisson; 2.6.3 Beta; 2.6.4 Uniform; 2.6.5 Gamma; 2.6.6 Root-inverse-gamma; 2.6.7 Half-normal; 2.6.8 Log-normal 327 $a2.6.9 Student's 2.6.10 Bivariate normal; 2.7 Key points; Exercises; 3 An Overview of the Bayesian Approach; 3.1 Subjectivity and context; 3.2 Bayes theorem for two hypotheses; 3.3 Comparing simple hypotheses: likelihood ratios and Bayes factors; 3.4 Exchangeability and parametric modelling*; 3.5 Bayes theorem for general quantities; 3.6 Bayesian analysis with binary data; 3.6.1 Binary data with a discrete prior distribution; 3.6.2 Conjugate analysis for binary data; 3.7 Bayesian analysis with normal distributions; 3.8 Point estimation, interval estimation and interval hypotheses 327 $a3.9 The prior distribution 3.10 How to use Bayes theorem to interpret trial results; 3.11 The 'credibility' of significant trial results*; 3.12 Sequential use of Bayes theorem*; 3.13 Predictions; 3.13.1 Predictions in the Bayesian framework; 3.13.2 Predictions for binary data*; 3.13.3 Predictions for normal data; 3.14 Decision-making; 3.15 Design; 3.16 Use of historical data; 3.17 Multiplicity, exchangeability and hierarchical models; 3.18 Dealing with nuisance parameters*; 3.18.1 Alternative methods for eliminating nuisance parameters*; 3.18.2 Profile likelihood in a hierarchical model* 327 $a3.19 Computational issues 3.19.1 Monte Carlo methods; 3.19.2 Markov chain Monte Carlo methods; 3.19.3 WinBUGS; 3.20 Schools of Bayesians; 3.21 A Bayesian checklist; 3.22 Further reading; 3.23 Key points; Exercises; 4 Comparison of Alternative Approaches to Inference; 4.1 A structure for alternative approaches; 4.2 Conventional statistical methods used in health-care evaluation; 4.3 The likelihood principle, sequential analysis and types of error; 4.3.1 The likelihood principle; 4.3.2 Sequential analysis; 4.3.3 Type I and Type II error; 4.4 P-values and Bayes factors* 327 $a4.4.1 Criticism of P-values 330 $aREAD ALL ABOUT IT! David Spiegelhalter has recently joined the ranks of Isaac Newton, Charles Darwin and Stephen Hawking by becoming a fellow of the Royal Society. Originating from the Medical Research Council's biostatistics unit, David has played a leading role in the Bristol heart surgery and Harold Shipman inquiries. Order a copy of this author's comprehensive text TODAY! The Bayesian approach involves synthesising data and judgement in order to reach conclusions about unknown quantities and make predictions. Bayesian methods have become increasingly popular in recent years, notab 410 0$aStatistics in practice. 606 $aBayesian statistical decision theory 606 $aMedicine$xResearch$xStatistical methods 606 $aClinical trials$xStatistical methods 615 0$aBayesian statistical decision theory. 615 0$aMedicine$xResearch$xStatistical methods. 615 0$aClinical trials$xStatistical methods. 676 $a519.5/42/02461 676 $a610.72 700 $aSpiegelhalter$b D. J$065673 701 $aAbrams$b K. 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