00940nam0-2200337---450-99000966062040332120121220161637.0978-88-467-3102-9000966062FED01000966062(Aleph)000966062FED0100096606220121220d2011----km-y0itay50------baitaITy-------001yy<<Il >>pluralismo religiosoprospettive per un dialogo fra le religioniElena M. PorzioPisaETS2011194 p.21 cmBoulé32001ReligioniPluralismoTeorieSec. 20.201.522itaPorzio,Elena M.518548ITUNINAREICATUNIMARCBK990009660620403321Collez. 2309 (3)48863FSPBCFSPBCPluralismo religioso840690UNINA01553oam 2200469 450 991071708310332120220202102710.0(CKB)5470000002527372(OCoLC)1288019170(EXLCZ)99547000000252737220211209d2019 ua 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierThe Pentagon papers in the federal courts /by Jake KobrickSecond edition.[Washington, D.C.] :Federal Judicial Center2019.1 online resource (vi, 113 pages) illustrationsIncludes bibliographical references (pages 111-113).Federal trials and great debates in United States historyGovernment and the pressUnited StatesFreedom of the pressUnited StatesVietnam War, 1961-1975Press coverageUnited StatesUnited StatesForeign relationsVietnamVietnamForeign relationsUnited StatesGovernment and the pressFreedom of the pressVietnam War, 1961-1975Press coverageKobrick Jake1419040Federal Judicial Center,GPOGPOGPOOCLCFOCLCOGPOBOOK9910717083103321The Pentagon papers in the federal courts3532228UNINA00965nam0 22002531i 450 UON0000268220231205101856.25196-7942-146-520020107d1989 |0itac50 baindMY|||| 1||||Ikatan Etnik dan Kelas di MalaysiaSanusi OsmanKuala LumpurUniversiti Kebangsaan Malaysia1989146 p.26 cmMALESIAMINORANZE ETNICHEUONC000800FIMAL XIVMALESIA - ANTROPOLOGIA ETNOLOGIA FOLFLORE SPORTAOSMANSanusiUONV002486495689ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00002682SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI MAL XIV 016 N SI SA 70013 5 016 N Ikatan Etnik dan Kelas di Malaysia1174830UNIOR04812nam 22007695 450 991058658090332120250326144018.09783030884437(electronic bk.)978303088442010.1007/978-3-030-88443-7(MiAaPQ)EBC7072669(Au-PeEL)EBL7072669(CKB)24368777700041(PPN)264193601(DE-He213)978-3-030-88443-7(EXLCZ)992436877770004120220810d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierEco-Stats: Data Analysis in Ecology From t-tests to Multivariate Abundances /by David I Warton1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (434 pages)Methods in Statistical Ecology,2199-3203Print version: Warton, David I. Eco-Stats: Data Analysis in Ecology Cham : Springer International Publishing AG,c2022 9783030884420 Includes bibliographical references and index.1. "Stats 101" Revision -- 2. An important equivalence result -- 3. Regression with multiple predictor variables -- 4. Linear models – anything goes -- 5. Model selection -- 6. Mixed effects models -- 7. Correlated samples in time, space, phylogeny -- 8. Wiggly Models -- 9. Design-based inference -- 10. Analysing discrete data -- 11. Multivariate analysis -- 12. Visualising many responses -- 13. Allometric line-fitting -- 14. Multivariate abundances and environmental association -- 15. Predicting multivariate abundances -- 16. Explaining variation in response across taxa -- 17. Studying co-occurrence patterns -- 18. Closing advice.This book introduces ecologists to the wonderful world of modern tools for data analysis, especially multivariate analysis. For biologists with relatively little prior knowledge of statistics, it introduces a modern, advanced approach to data analysis in an intuitive and accessible way. The book begins by reviewing some core principles in statistics, and relates common methods to the linear model, a general framework for modeling data where the response is continuous. This is then extended to discrete data using generalized linear models, to designs with multiple sampling levels via mixed models, and to situations where there are multiple response variables via model-based approaches to multivariate analysis. Along the way there is an introduction to: important principles in model selection; adaptations of the model to handle non-linearity and cyclical variables; dependence due to structured correlation in time, space or phylogeny; and design-based techniques for inference that can relax some of the modelling assumptions. It concludes with a range of advanced topics in model-based multivariate analysis relevant to the modern ecologist, including fourth corner, latent variable and copula models. Examples span a variety of applications including environmental monitoring, species distribution modeling, global-scale surveys of plant traits, and small field experiments on biological controls. Math Boxes throughout the book explain some of the core ideas mathematically for readers who want to delve deeper, and R code is used throughout. Accompanying code, data, and solutions to exercises can be found in the ecostats R package on CRAN.Methods in Statistical Ecology,2199-3203StatisticsBioinformaticsBiotic communitiesPopulation biologyBiometryEcologyStatisticsStatistical Theory and MethodsBioinformaticsCommunity and Population EcologyBiostatisticsEcologyStatistics in Engineering, Physics, Computer Science, Chemistry and Earth SciencesStatistics.Bioinformatics.Biotic communities.Population biology.Biometry.Ecology.Statistics.Statistical Theory and Methods.Bioinformatics.Community and Population Ecology.Biostatistics.Ecology.Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.577.0727577.015195Warton David1369685MiAaPQMiAaPQMiAaPQ9910586580903321Eco-Stats: Data Analysis in Ecology4349616UNINA