{"title":"Boeken Wetenschap \u0026 Natuur","description":"\u003ch3\u003eWetenschap \u0026amp; Natuur Boeken Kopen\u003c\/h3\u003e\n\u003cp\u003eVergroot je kennis over de wereld om ons heen met ons uitgebreide aanbod \u003cstrong\u003eWetenschap \u0026amp; Natuur boeken\u003c\/strong\u003e. Of je nu geïnteresseerd bent in sterrenkunde, biologie, scheikunde of het milieu, deze categorie biedt boeken die complexe onderwerpen toegankelijk maken en je nieuwsgierigheid prikkelen. Van diepgaande studies tot toegankelijke populairwetenschappelijke werken — hier vind je voor elke lezer iets inspirerends.\u003c\/p\u003e\n\u003ch4\u003eThema’s voor nieuwsgierige geesten\u003c\/h4\u003e\n\u003cp\u003eBinnen Wetenschap \u0026amp; Natuur vind je boeken over uiteenlopende onderwerpen:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAstronomie en ruimtevaart\u003c\/strong\u003e – Ontdek het universum, planetenstelsels en ruimteonderzoek.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eBiologie en ecologie\u003c\/strong\u003e – Het leven van planten, dieren en ecosystemen.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eScheikunde en natuurkunde\u003c\/strong\u003e – De bouwstenen van materie en de krachten van het universum.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eMilieu en duurzaamheid\u003c\/strong\u003e – Klimaatverandering, natuurbescherming en groene innovaties.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eWiskunde en logica\u003c\/strong\u003e – Van basisprincipes tot geavanceerde theorieën.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePopulairwetenschappelijke boeken\u003c\/strong\u003e – Toegankelijke werken van bekende wetenschapsauteurs.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eLeren, ontdekken en begrijpen\u003c\/h4\u003e\n\u003cp\u003eOf je nu een \u003cstrong\u003estudent\u003c\/strong\u003e, \u003cstrong\u003eprofessional\u003c\/strong\u003e of gewoon een \u003cstrong\u003enieuwsgierige lezer\u003c\/strong\u003e bent, deze boeken bieden zowel \u003cstrong\u003ewetenschappelijke verdieping\u003c\/strong\u003e als \u003cstrong\u003eduidelijke uitleg\u003c\/strong\u003e. Ze helpen je om complexe thema’s te begrijpen en je kennis verder uit te breiden.\u003c\/p\u003e\n\u003cp\u003eHet aanbod bestaat grotendeels uit \u003cstrong\u003evoordelige tweedehands boeken\u003c\/strong\u003e, soms aangevuld met nieuwe exemplaren. Bij elk boek wordt de \u003cstrong\u003econditie duidelijk vermeld\u003c\/strong\u003e, zodat je precies weet of je een bijna nieuw of gelezen boek ontvangt. Zo weet je altijd wat je kunt verwachten.\u003c\/p\u003e\n\u003ch4\u003eZorgvuldig gecontroleerd en snel geleverd\u003c\/h4\u003e\n\u003cp\u003eAlle boeken worden \u003cstrong\u003ezorgvuldig nagekeken en professioneel schoongemaakt\u003c\/strong\u003e. Bestel je op een werkdag vóór 16:00 uur? 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This text is suitable for researchers and statisticians working in the medical and other life sciences as well as statisticians in academia who teach introductory and second-level courses on survival analysis. \u003c\/p\u003e \u003cp\u003eThe third edition continues to use the unique \"lecture-book\" format of the first two editions with one new chapter, additional sections and clarifications to several chapters, and a revised computer appendix. The Computer Appendix, with step-by-step instructions for using the computer packages STATA, SAS, and SPSS, is expanded to include the software package R.\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003eDavid Kleinbaum is Professor of Epidemiology at the Rollins School of Public Health at Emory University, Atlanta, Georgia. Dr. Kleinbaum is internationally known for innovative textbooks and teaching on epidemiological methods, multiple linear regression, logistic regression, and survival analysis. 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This homework platform is designed to evaluate and improve student performance and allows instructors to select assignments on specific topics and review the performance of the entire class, as well as individual students, via the instructor dashboard. Students receive immediate feedback on their mastery of the topics, and will be better prepared for lectures and classroom discussions. The user-friendly system provides a convenient way to engage students while assessing progress. Performance data can be used to tailor classroom discussion, activities, and lectures to address students' needs precisely and efficiently. 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We voelen ons onzeker over wat ons en onze planeet te wachten staat: een pandemie, de groeiende kloof tussen rijk en arm, de wankele economie en de groter wordende klimaatcrisis. In dit helder geformuleerde essay laat René van Woudenberg zien dat angst en onzekerheid niet het laatste woord hebben. Hij neemt de lezer mee naar zaken waarvan we zeker kunnen zijn dat ze in de toekomst werkelijkheid worden: logische waarheden, regelmatigheden en beloften. De toekomst is weliswaar ongewis, maar er zijn wel degelijk toekomstige zekerheden. 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The book will be of great interest for all specialists working on computational statistics and Monte Carlo methods for modeling and simulation.\" – Tzvetan Semerdjiev, Zentralblatt Math\u003c\/p\u003e \u003cp\u003eComputational statistics and statistical computing are two areas within statistics that may be broadly described as computational, graphical, and numerical approaches to solving statistical problems. Like its bestselling predecessor, \u003cb\u003eStatistical Computing with R, Second Edition\u003c\/b\u003e covers the traditional core material of these areas with an emphasis on using the R language via an examples-based approach. The new edition is up-to-date with the many advances that have been made in recent years. \u003c\/p\u003e \u003cp\u003eFeatures\u003c\/p\u003e \u003cul\u003e \u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e \u003cli\u003eProvides an overview of computational statistics and an introduction to the R computing environment.\u003c\/li\u003e \u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e \u003cli\u003eFocuses on implementation rather than theory.\u003c\/li\u003e \u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e \u003cli\u003eExplores key topics in statistical computing including Monte Carlo methods in inference, bootstrap and jackknife, permutation tests, Markov chain Monte Carlo (MCMC) methods, and density estimation.\u003c\/li\u003e \u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e \u003cli\u003eIncludes new sections, exercises and applications as well as new chapters on resampling methods and programming topics.\u003c\/li\u003e \u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e \u003cli\u003eIncludes coverage of recent advances including R Studio, the tidyverse, knitr and ggplot2\u003c\/li\u003e \u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e \u003cli\u003eAccompanied by online supplements available on GitHub including R code for all the exercises as well as tutorials and extended examples on selected topics.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eSuitable for an introductory course in computational statistics or for self-study, \u003cb\u003eStatistical Computing with R\u003c\/b\u003e, Second Edition provides a balanced, accessible introduction to computational statistics and statistical computing.\u003c\/p\u003e \u003cp\u003eAbout the Author\u003c\/p\u003e \u003cp\u003eMaria Rizzo is Professor in the Department of Mathematics and Statistics at Bowling Green State University in Bowling Green, Ohio, where she teaches statistics, actuarial science, computational statistics, statistical programming and data science. 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