LEADER 05613 am 22007453u 450 001 9910377813603321 005 20230621140208.0 010 $a1-000-76101-0 010 $a1-000-76108-8 010 $a0-367-22222-1 010 $a0-429-27387-8 035 $a(CKB)4100000010265590 035 $a(OAPEN)1007799 035 $a(OCoLC)1142226472 035 $a(OCoLC-P)1142226472 035 $a(FlBoTFG)9780429273872 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/30625 035 $a(EXLCZ)994100000010265590 100 $a20200228d2020 uy 0 101 0 $aeng 135 $aurcnu|||unuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aSmall sample size solutions $ea guide for applied researchers and practitioners /$fedited by Rens van de Schoot and Milica Mioc?evic? 210 $cTaylor & Francis$d2020 210 1$aLondon :$cRoutledge, Taylor & Francis Group,$d2020. 215 $a1 online resource (xiv, 269 pages) $cdigital, PDF file(s) 225 1 $aEuropean Association of Methodology series 311 08$aPrint version: 9780367221898 320 $aIncludes bibliographical references and index. 327 $aIntroduction (Van de Schootand Mioc?evic?) List of Symbols Part I: Bayesian solutions 1. Introduction to Bayesian statistics(Mioc?evic?, Levy,and van de Schoot) 2.The role of exchangeability in sequential updating of findings from small studies and the challenges of identifying exchangeable data sets (Mioc?evic?, Levy,and Savord) 3. A tutorial on using the WAMBS checklist to avoid the misuse of Bayesian statistics(van de Schoot, Veen, Smeets, Winter,and Depaoli) 4. The importance of collaboration in Bayesian analyses with small samples (Veenand Egberts) 5. A tutorial on Bayesian penalized regression with shrinkage priors for small sample sizes (van Erp) PartII: n=1 6. One by one: the designand analysis of replicated randomized single-case experiments(Onghena) 7. Single-case experimental designs in clinical intervention research (Maricand van der Werff) 8. How to improve the estimation of a specific examinee's (n=1)math ability when test data are limited(Lekand Arts) 9. Combining evidence over multiple individual analyses(Klaassen) 10. Going multivariate in clinical trial studies: a Bayesian framework for multiple binary outcomes(Kavelaars) PartIII: Complex hypotheses and models 11. An introduction to restriktor: evaluating informative hypotheses for linear models (VanbrabantandRosseel) 12. Testing replication with small samples: applications to ANOVA(Zondervan-Zwijnenburgand Rijshouwer) 13. Small sample meta-analyses: exploring heterogeneity using MetaForest (van Lissa) 14. Item parcels as indicators: why, when, and how to use them in small sample research(Rioux, Stickley, Odejimi,and Little) 15. Small samples in multilevel modeling(Hoxand McNeish) 16. Small sample solutions for structural equation modeling(Rosseel) 17. SEM with small samples: two-step modeling and factor score regression versus Bayesian estimation with informative priors (Smidand Rosseel) 18. Important yet unheeded: some small sample issues that are often overlooked(Hox) Index 330 $aResearchers often have difficulties collecting enough data to test their hypotheses, either because target groups are small or hard to access, or because data collection entails prohibitive costs. Such obstacles may result in data sets that are too small for the complexity of the statistical model needed to answer the research question. This uniquebook provides guidelines and tools for implementing solutions to issues that arise in small sample research. Each chapterillustrates statistical methods that allow researchers to apply the optimal statistical model for their research question when the sample is too small. Thisessential book will enable social and behavioral science researchers to test their hypotheses even when the statistical model required for answering their research question is too complex for the sample sizes they can collect.The statistical models in the book rangefrom the estimation of a population mean to models with latent variables and nested observations, and solutions include both classical and Bayesian methods.All proposed solutions are described in steps researchers can implement with their own data and are accompanied with annotated syntax in R. The methods described in this book will be useful for researchers across the social and behavioral sciences, ranging from medical sciences and epidemiology to psychology, marketing, and economics. 410 0$aEuropean Association of Methodology series. 606 $aResearch$xMethodology 606 $aData sets 610 $astatistical methods 610 $aresearchers 610 $astatistical model 610 $aresearch 610 $asmall sample 610 $aestimation 610 $apopulation 610 $avariables 610 $aobservations 610 $asocial sciences 610 $abehavioral sciences 610 $amedical sciences 610 $aepidemiology 610 $apsychology 610 $amarketing 610 $aeconomics 610 $aanalysis 615 0$aResearch$xMethodology. 615 0$aData sets. 676 $a001.42 700 $avan de Schoot$b Rens$4auth$01366247 702 $aSchoot$b Rens van de 702 $aMioc?evic?$b Milica 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9910377813603321 996 $aSmall sample size solutions$93388729 997 $aUNINA LEADER 04118nam 22006492 450 001 9910779981803321 005 20151005020623.0 010 $a1-139-89190-1 010 $a1-107-28990-4 010 $a1-107-28932-7 010 $a1-107-29422-3 010 $a1-107-29142-9 010 $a1-139-85570-0 010 $a1-107-29037-6 010 $a1-107-29314-6 035 $a(CKB)2550000001108210 035 $a(EBL)1303747 035 $a(OCoLC)855022906 035 $a(SSID)ssj0000893817 035 $a(PQKBManifestationID)11545775 035 $a(PQKBTitleCode)TC0000893817 035 $a(PQKBWorkID)10906611 035 $a(PQKB)10020957 035 $a(UkCbUP)CR9781139855709 035 $a(MiAaPQ)EBC1303747 035 $a(Au-PeEL)EBL1303747 035 $a(CaPaEBR)ebr10740482 035 $a(CaONFJC)MIL508553 035 $a(EXLCZ)992550000001108210 100 $a20121105d2013|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAgainst the consensus $ereflections on the great recession /$fJustin Yifu Lin$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2013. 215 $a1 online resource (xxix, 247 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a1-107-03887-1 311 $a1-299-77302-8 320 $aIncludes bibliographical references and index. 327 $aPreface -- Overview -- Part I. What Caused the 2008-9 Global Crisis?: 1. The world economy and the 2008-9 crisis -- 2. The real causes of the crisis -- 3. Financial deregulation and the housing bubble -- 4. What's wrong with the Eurozone -- 5. Why China's reserves rose so much -- Part II. A Win-Win Path to Recovery: 6. Infrastructure investments: beyond Keynesianism -- 7. A massive global infrastructure initiative -- Part III. How Poor Countries Can Catch up: Flying Geese and Leading Dragons: 8. The mystery of the great divergence -- 9. The mechanics and benefits of structural change -- 10. Lessons from the failures and successes of structural transformation -- 11. Unique opportunities for poor countries -- Part IV. Toward a Brave New World Monetary System: 12. The evolution of the international monetary system -- 13. Emerging pressures and policy challenges -- 14. (In)stability of the emerging multiple reserve currency system -- 15. The thinking behind the main reform proposals -- 16. Costs and benefits of major reform proposals -- 17. A proposal for a new global reserve currency: paper gold ('p-gold') -- 18. Why it still matters -- References -- Index. 330 $aIn June 2008, Justin Yifu Lin was appointed Chief Economist of the World Bank, right before the eruption of the worst global financial and economic crisis since the Great Depression. Drawing on experience from his privileged position, Lin offers unique reflections on the cause of the crisis, why it was so serious and widespread, and its likely evolution. Arguing that conventional theories provide inadequate solutions, he proposes new initiatives for achieving global stability and avoiding the recurrence of similar crises in the future. He suggests that the crisis and the global imbalances both originated with the excess liquidity created by US financial deregulation and loose monetary policy, and recommends the creation of a global Marshall Plan and a new supranational global reserve currency. This thought-provoking book will appeal to academics, graduate students, policy makers, and anyone interested in the global economy. 606 $aGlobal Financial Crisis, 2008-2009 606 $aRecessions$xHistory$y21st century 607 $aChina$xEconomic policy 615 0$aGlobal Financial Crisis, 2008-2009. 615 0$aRecessions$xHistory 676 $a330.9/0511 700 $aLin$b Justin Yifu$f1952-$0283743 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910779981803321 996 $aAgainst the consensus$93696543 997 $aUNINA LEADER 04446nam 22007215 450 001 9910437562903321 005 20251202143722.0 010 $a9783642331701 010 $a364233170X 024 7 $a10.1007/978-3-642-33170-1 035 $a(OCoLC)853265628 035 $a(MiFhGG)GVRL6USE 035 $a(CKB)2670000000533758 035 $a(MiAaPQ)EBC1398704 035 $a(MiFhGG)9783642331701 035 $a(DE-He213)978-3-642-33170-1 035 $a(EXLCZ)992670000000533758 100 $a20130709d2013 u| 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aIndustrial Deployment of System Engineering Methods /$fedited by Alexander Romanovsky, Martyn Thomas 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (x, 259 pages) $cillustrations (some color) 225 0 $aGale eBooks 300 $aDescription based upon print version of record. 311 08$a9783642331695 311 08$a3642331696 311 08$a9783642430640 311 08$a3642430643 320 $aIncludes bibliographical references. 327 $aIntroduction -- DEPLOY Integrated Project -- Experience of Deployment in the Automotive Industry -- Improving Railway Data Validation with ProB -- Deployment in the Space Sector -- Business Information Sector -- Formal Methods as an Improvement Tool -- Critical Software Technologies Experience with Formal Methods -- Experiences Developing Event-B in an Industrial Microprocessor Development -- Industrial Deployment of Formal Methods: Trends and Challenges -- Introducing Formal Methods into Existing Industrial Practices Tooling -- Technology Transfer -- After and Outside DEPLOY: the DEPLOY Ecosystems -- Industrial Software Engineering and Formal Methods.- App. A  An Introduction to the Event-B Modelling Method -- App. B  Evidence-Based Assistance for the Adoption of Formal Methods in Industry. 330 $aA formal method is not the main engine of a development process, its contribution is to improve system dependability by motivating formalisation where useful. This book summarizes the results of the DEPLOY research project on engineering methods for dependable systems through the industrial deployment of formal methods in software development. The applications considered were in automotive, aerospace, railway, and enterprise information systems, and microprocessor design.   The project introduced a formal method, Event-B, into several industrial organisations and built on the lessons learned to provide an ecosystem of better tools, documentation and support to help others to select and introduce rigorous systems engineering methods. The contributing authors report on these projects and the lessons learned. For the academic and research partners and the tool vendors, the project identified improvements required in the methods and supporting tools, while the industrial partners learned about the value of formal methods in general. A particular feature of the book is the frank assessment of the managerial and organisational challenges, the weaknesses in some current methods and supporting tools, and the ways in which they can be successfully overcome.   The book will be of value to academic researchers, systems and software engineers developing critical systems, industrial managers, policymakers, and regulators. 606 $aSoftware engineering 606 $aMachine theory 606 $aIndustrial engineering 606 $aProduction engineering 606 $aSoftware Engineering 606 $aFormal Languages and Automata Theory 606 $aIndustrial and Production Engineering 615 0$aSoftware engineering. 615 0$aMachine theory. 615 0$aIndustrial engineering. 615 0$aProduction engineering. 615 14$aSoftware Engineering. 615 24$aFormal Languages and Automata Theory. 615 24$aIndustrial and Production Engineering. 676 $a004 676 $a005.1 676 $a005.131 676 $a620.001 701 $aRomanovsky$b Alexander$0564907 701 $aThomas$b Martyn$01713701 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437562903321 996 $aIndustrial deployment of system engineering methods$94203613 997 $aUNINA