LEADER 04132nam 2200613 a 450 001 9910480192903321 005 20170821181659.0 010 $a1-4522-4715-3 010 $a1-322-28346-X 010 $a1-4833-4537-8 035 $a(CKB)2560000000250823 035 $a(EBL)1920454 035 $a(OCoLC)654272159 035 $a(MiAaPQ)EBC1920454 035 $a(StDuBDS)EDZ0000160002 035 $a(EXLCZ)992560000000250823 100 $a20130912d1996 fy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aWomen at risk$b[electronic resource] $edomestic violence and women's health /$fEvan Stark, Anne Flitcraft 210 $aThousand Oaks, Calif. $cSAGE$dc1996 215 $a1 online resource (289 p.) 300 $aDescription based upon print version of record. 311 $a1-5063-2095-3 311 $a0-8039-7041-2 320 $aIncludes bibliographical references (pages 221-237) and indexes. 327 $a""Cover ""; ""Contents ""; ""Acknowledgments ""; ""Introduction ""; ""Part I - Theoretical Perspectives ""; ""Chapter 1 - Medicine and Patriarchal Violence ""; ""Chapter 2 - Imagining Woman Battering: Social Knowledge, Social Therapy, and Patriarchal Benevolence ""; ""Part II - Health Consequences "" 327 $a""Chapter 3 - Women and Children at Risk: A Feminist Perspective on Child Abuse """"Chapter 4 - Killing the Beast Within: Woman Battering and Female Suicidality""; ""Chapter 5 - Preventing Gendered Homicide ""; ""Part III - Clinical Interventions "" 327 $a""Chapter 6 - Personal Power and Institutional Victimization: Treating the Dual Trauma of Woman Battering """"Chapter 7 - Clinical Violence Intervention: Lessons from Battered Women""; ""Chapter 8 - Discharge Planning With Battered Women ""; ""Chapter 9 - Physicians and Domestic Violence: Challenges for Prevention ""; ""References "" 327 $a""Name Index """"Subject Index ""; ""About the Authors "" 330 $aBattering by men is the most significant cause of injury to women in our society. It is also a major cause of child abuse, murder, substance abuse and female suicide attempts. This volume, the result of 15 years of research conducted by the authors - a social worker and physician respectively - explores the theoretical perspectives of this dramatic expression of male domination, together with health consequences for women and clinical interventions. The authors found that the traditional resources women turn to for help reinforce male domination: the medical, psychiatric and behavioural pro 606 $aWife abuse$zUnited States 606 $aFamily violence$zUnited States 606 $aAbused wives$xMedical care$zUnited States 606 $aAbused women$xMedical care$zUnited States 606 $aPatriarchy$zUnited States 608 $aElectronic books. 615 0$aWife abuse 615 0$aFamily violence 615 0$aAbused wives$xMedical care 615 0$aAbused women$xMedical care 615 0$aPatriarchy 676 $a362.82920973 700 $aStark$b Evan$0966092 701 $aFlitcraft$b Anne$f1948-$01043665 801 0$bStDuBDS 801 1$bStDuBDS 906 $aBOOK 912 $a9910480192903321 996 $aWomen at risk$92468794 997 $aUNINA LEADER 05716nam 2200733Ia 450 001 9910146132003321 005 20170809170514.0 010 $a0-470-74668-8 010 $a1-282-13828-6 010 $a9786612138287 010 $a0-470-74667-X 035 $a(CKB)1000000000719728 035 $a(EBL)427978 035 $a(OCoLC)436206119 035 $a(SSID)ssj0000336547 035 $a(PQKBManifestationID)11244456 035 $a(PQKBTitleCode)TC0000336547 035 $a(PQKBWorkID)10281971 035 $a(PQKB)10803978 035 $a(MiAaPQ)EBC427978 035 $a(CaSebORM)9780471496571 035 $a(PPN)18342719X 035 $a(EXLCZ)991000000000719728 100 $a20090224d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDecision theory$b[electronic resource] $eprinciples and approaches /$fGiovanni Parmigiani, Lurdes Y.T. Inoue, Hedibert F. Lopes 205 $a1st edition 210 $aChichester, West Sussex $cJohn Wiley & Sons$dc2009 215 $a1 online resource (404 p.) 225 1 $aWiley Series in Probability and Statistics ;$vv.812 300 $aDescription based upon print version of record. 311 $a0-471-49657-X 320 $aIncludes bibliographical references and index. 327 $aDecision Theory; Contents; Preface; Acknowledgments; 1 Introduction; 1.1 Controversies; 1.2 A guided tour of decision theory; Part One Foundations; 2 Coherence; 2.1 The "Dutch Book" theorem; 2.1.1 Betting odds; 2.1.2 Coherence and the axioms of probability; 2.1.3 Coherent conditional probabilities; 2.1.4 The implications of Dutch Book theorems; 2.2 Temporal coherence; 2.3 Scoring rules and the axioms of probabilities; 2.4 Exercises; 3 Utility; 3.1 St. Petersburg paradox; 3.2 Expected utility theory and the theory of means; 3.2.1 Utility and means; 3.2.2 Associative means 327 $a3.2.3 Functional means3.3 The expected utility principle; 3.4 The von Neumann-Morgenstern representation theorem; 3.4.1 Axioms; 3.4.2 Representation of preferences via expected utility; 3.5 Allais' criticism; 3.6 Extensions; 3.7 Exercises; 4 Utility in action; 4.1 The "standard gamble"; 4.2 Utility of money; 4.2.1 Certainty equivalents; 4.2.2 Risk aversion; 4.2.3 A measure of risk aversion; 4.3 Utility functions for medical decisions; 4.3.1 Length and quality of life; 4.3.2 Standard gamble for health states; 4.3.3 The time trade-off methods; 4.3.4 Relation between QALYs and utilities 327 $a4.3.5 Utilities for time in ill health4.3.6 Difficulties in assessing utility; 4.4 Exercises; 5 Ramsey and Savage; 5.1 Ramsey's theory; 5.2 Savage's theory; 5.2.1 Notation and overview; 5.2.2 The sure thing principle; 5.2.3 Conditional and a posteriori preferences; 5.2.4 Subjective probability; 5.2.5 Utility and expected utility; 5.3 Allais revisited; 5.4 Ellsberg paradox; 5.5 Exercises; 6 State independence; 6.1 Horse lotteries; 6.2 State-dependent utilities; 6.3 State-independent utilities; 6.4 Anscombe-Aumann representation theorem; 6.5 Exercises; Part Two Statistical Decision Theory 327 $a7 Decision functions7.1 Basic concepts; 7.1.1 The loss function; 7.1.2 Minimax; 7.1.3 Expected utility principle; 7.1.4 Illustrations; 7.2 Data-based decisions; 7.2.1 Risk; 7.2.2 Optimality principles; 7.2.3 Rationality principles and the Likelihood Principle; 7.2.4 Nuisance parameters; 7.3 The travel insurance example; 7.4 Randomized decision rules; 7.5 Classification and hypothesis tests; 7.5.1 Hypothesis testing; 7.5.2 Multiple hypothesis testing; 7.5.3 Classification; 7.6 Estimation; 7.6.1 Point estimation; 7.6.2 Interval inference; 7.7 Minimax-Bayes connections; 7.8 Exercises 327 $a8 Admissibility8.1 Admissibility and completeness; 8.2 Admissibility and minimax; 8.3 Admissibility and Bayes; 8.3.1 Proper Bayes rules; 8.3.2 Generalized Bayes rules; 8.4 Complete classes; 8.4.1 Completeness and Bayes; 8.4.2 Sufficiency and the Rao-Blackwell inequality; 8.4.3 The Neyman-Pearson lemma; 8.5 Using the same ? level across studies with different sample sizes is inadmissible; 8.6 Exercises; 9 Shrinkage; 9.1 The Stein effect; 9.2 Geometric and empirical Bayes heuristics; 9.2.1 Is x too big for ??; 9.2.2 Empirical Bayes shrinkage; 9.3 General shrinkage functions 327 $a9.3.1 Unbiased estimation of the risk of x + g(x) 330 $aDecision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set of consequences, and a correspondence between those sets, decision theory offers conceptually simple procedures for choice. This book presents an overview of the fundamental concepts and outcomes of rational decision making under uncertainty, highlighting the implications for statistical practice. The authors have developed a series of self contained chapters focusing on bridging the gaps between the different fields that have contributed to rational decisi 410 0$aWiley Series in Probability and Statistics 606 $aStatistical decision 606 $aAxiomatic set theory 606 $aExperimental design 615 0$aStatistical decision. 615 0$aAxiomatic set theory. 615 0$aExperimental design. 676 $a519.5 676 $a519.5/42 676 $a519.542 700 $aParmigiani$b G$g(Giovanni)$0151641 701 $aInoue$b Lurdes Y. T$g(Lurdes Yoshiko Tani),$f1970-$0963198 701 $aLopez$b Hedibert Freitas$0963199 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910146132003321 996 $aDecision theory$92183921 997 $aUNINA LEADER 04827nam 22009135 450 001 9910298553703321 005 20200920173409.0 010 $a3-319-05098-2 024 7 $a10.1007/978-3-319-05098-0 035 $a(CKB)3710000000093973 035 $a(EBL)1698454 035 $a(OCoLC)881162033 035 $a(SSID)ssj0001186033 035 $a(PQKBManifestationID)11629556 035 $a(PQKBTitleCode)TC0001186033 035 $a(PQKBWorkID)11217423 035 $a(PQKB)10633210 035 $a(MiAaPQ)EBC1698454 035 $a(DE-He213)978-3-319-05098-0 035 $a(PPN)177823690 035 $a(EXLCZ)993710000000093973 100 $a20140310d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aInnovating in a Learning Community $eEmergence of an Open Information Infrastructure in China's Pharmaceutical Distribution Industry /$fby Kai Reimers, Xunhua Guo, Mingzhi Li, Bin Xie, Tiantian Zhang 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (67 p.) 225 1 $aSpringerBriefs in Digital Spaces,$x2193-5890 300 $aDescription based upon print version of record. 311 $a3-319-05097-4 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIntroduction -- A Simple Theoretical Framework -- Method -- Historical Context and Precedents -- Summary of Data Analysis -- Findings -- Theoretical Implications -- Extensions -- Answering the Research Question -- Managerial Implications -- Limitations -- Appendix I: Data Synthesis -- Appendix II: Development of Electronic Patient Records and Drug Tracking Technologies in China. 330 $aHow do firms jointly develop open information infrastructures? To answer this question, this book draws on the results of a longitudinal research project covering the development of the pharmaceutical distribution industry in China from 2004 to 2012, focusing on the emergence and subsequent evolution of industry-wide information infrastructures. How do firms delimit areas of proprietary innovation in open innovation projects? How do firms coordinate, initiate, negotiate and implement the development of innovative infrastructures? How do processes and practices within firms enable and constrain such collective efforts? - This book provides answers to these questions and draws conclusions regarding the challenges and new capabilities that firms will need in a world in which participation in the building of open information infrastructures becomes a necessary task for commercial organizations. 410 0$aSpringerBriefs in Digital Spaces,$x2193-5890 606 $aInformation technology 606 $aBusiness?Data processing 606 $aMedical economics 606 $aPharmacy 606 $aMedical informatics 606 $aProduction management 606 $aManagement 606 $aIndustrial management 606 $aIT in Business$3https://scigraph.springernature.com/ontologies/product-market-codes/522000 606 $aHealth Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W35000 606 $aPharmacy$3https://scigraph.springernature.com/ontologies/product-market-codes/F00008 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/H28009 606 $aOperations Management$3https://scigraph.springernature.com/ontologies/product-market-codes/519000 606 $aInnovation/Technology Management$3https://scigraph.springernature.com/ontologies/product-market-codes/518000 615 0$aInformation technology. 615 0$aBusiness?Data processing. 615 0$aMedical economics. 615 0$aPharmacy. 615 0$aMedical informatics. 615 0$aProduction management. 615 0$aManagement. 615 0$aIndustrial management. 615 14$aIT in Business. 615 24$aHealth Economics. 615 24$aPharmacy. 615 24$aHealth Informatics. 615 24$aOperations Management. 615 24$aInnovation/Technology Management. 676 $a615.10684 700 $aReimers$b Kai$4aut$4http://id.loc.gov/vocabulary/relators/aut$01065485 702 $aGuo$b Xunhua$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aLi$b Mingzhi$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aXie$b Bin$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aZhang$b Tiantian$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910298553703321 996 $aInnovating in a Learning Community$92546088 997 $aUNINA