01983nam0 2200469 i 450 VAN0012683920240806100822.611N978303023865020200217d2019 |0itac50 baengCH|||| |||||Diophantine Equations and Power Integral BasesTheory and AlgorithmsIstván Gaál2. edChamBirkhauser2019xxii, 326 p.ill.24 cmVAN00236741Diophantine Equations and Power Integral Bases173244411DxxDiophantine equations [MSC 2020]VANC019788MF11R04Algebraic numbers; rings of algebraic integers [MSC 2020]VANC021856MF11Y50Computer solution of Diophantine equations [MSC 2020]VANC021904MFAlgebraic number theoryKW:KAlgorithmic AnalysisKW:KBaker's method solutionKW:KDiophantine EquationsKW:KDiophantine equation solutionsKW:KIndex form equationsKW:KNorm form equationsKW:KNumber fieldsKW:KNumber theoryKW:KPower integral basesKW:KThue equationsKW:KCHChamVANL001889GaálIstvánVANV098248781318Birkhäuser <editore>VANV108193650ITSOL20241115RICAhttp://doi.org/10.1007/978-3-030-23865-0E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00126839BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-book 1562 08eMF1562 20200217 Diophantine Equations and Power Integral Bases1732444UNICAMPANIA03278nam 22006375 450 991101565110332120250723111741.03-031-89338-710.1007/978-3-031-89338-4(CKB)39591223500041(MiAaPQ)EBC32223137(Au-PeEL)EBL32223137(DE-He213)978-3-031-89338-4(OCoLC)1530394423(EXLCZ)993959122350004120250702d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierEnvironmental Valuation with Discrete Choice Experiments in R A Guide on Design, Implementation, and Data Analysis /by Petr Mariel, Danny Campbell, Erlend Dancke Sandorf, Jürgen Meyerhoff, Ainhoa Vega-Bayo, Rebecca Blevins1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (425 pages)The Economics of Non-Market Goods and Resources ;173-031-89337-9 Chapter 1. Introduction -- Chapter 2. Steps of a Discrete Choice Experiment -- Chapter 3. Random utility models: Theoretical background -- Chapter 4. Case study -- Chapter 5. Experimental design -- Chapter 6. Data collection in Shiny -- Chapter 7. From Raw Data to Insights -- Chapter 8. Maximum Likelihood and Related Issues -- Chapter 9. Estimation -- Chapter 10. Post-estimation analysis -- Chapter 11. Final thoughts.This open access book offers advice and practical guidance for conducting discrete choice experiments (DCEs) in environmental valuation. It covers essential aspects of designing, implementing, and analysing choice experiments. Each chapter includes scripts and guidance, showcasing how to execute every step of a DCE using the free statistical computing and graphics software, R. This feature enhances accessibility and versatility for researchers in the field. While not providing strict guidelines, the book assists readers in steering clear of common mistakes encountered in applied work. With its insights and expertise, it equips researchers and practitioners to effectively navigate the complexities of DCEs.The Economics of Non-Market Goods and Resources ;17Environmental economicsEnvironmental policyEconometricsEnvironmental EconomicsEnvironmental PolicyQuantitative EconomicsEnvironmental economics.Environmental policy.Econometrics.Environmental Economics.Environmental Policy.Quantitative Economics.333.7Mariel Petr849964Campbell Danny1747914Sandorf Erlend Dancke1834282Meyerhoff Jürgen1834283Vega-Bayo Ainhoa1834284Blevins Rebecca1834285MiAaPQMiAaPQMiAaPQBOOK9911015651103321Environmental Valuation with Discrete Choice Experiments in R4409686UNINA