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Actionable Science of Global Environment Change [[electronic resource] ] : From Big Data to Practical Research / / edited by Ziheng Sun
Actionable Science of Global Environment Change [[electronic resource] ] : From Big Data to Practical Research / / edited by Ziheng Sun
Autore Sun Ziheng
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (390 pages)
Disciplina 551.6
Soggetto topico Climatology
Quantitative research
Sampling (Statistics)
Climate Sciences
Data Analysis and Big Data
Methodology of Data Collection and Processing
ISBN 3-031-41758-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: What is “Actionable” Science for Climate and Environment -- Chapter 2: Data Foundation for Actionable Science -- Chapter 3: Technology Landscape for Making Climate and Environmental Science “Actionable” -- Chapter 4: Actionable Science for Greenhouse Gas Emission Reduction -- Chapter 5: Actionable Science for Hurricanes -- Chapter 6: Actionable Science for Wildfire Response -- Chapter 7: Actionable Science for Sea Level Rising -- Chapter 8: Actionable Science for Irrigation -- Chapter 9: Actionable Science for Snow Monitoring and Response -- Chapter 10: Towards more actionable vulnerability indices for Global Environmental Change -- Chapter 11: Actionable Science in Environmental Health -- Chapter 12: Actionable AI for Climate and Environment -- Chapter 13: Actionable Environmental Science through Social Media Platforms -- Chapter 14: Ethics and Accountability of Science in Action.
Record Nr. UNINA-9910760265803321
Sun Ziheng  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Case Studies in the Virtual Physical Chemistry Laboratory [[electronic resource] /] / by Anthony J. Duben
Case Studies in the Virtual Physical Chemistry Laboratory [[electronic resource] /] / by Anthony J. Duben
Autore Duben Anthony J
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (XVII, 184 p. 97 illus., 26 illus. in color.)
Disciplina 541
Collana Physical Chemistry in Action
Soggetto topico Physical chemistry
Thermodynamics
Chemical kinetics
Spectrum analysis
Sampling (Statistics)
Physical Chemistry
Reaction Kinetics
Spectroscopy
Methodology of Data Collection and Processing
ISBN 3-031-55018-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Critical Properties and Real Gases -- Thermochemistry -- Phase Equilibria -- Reaction Equilibria -- Electrolyte Solutions -- Activity Coefficients -- Chemical Kinetics.
Record Nr. UNINA-9910852998703321
Duben Anthony J  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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A Guide to Robust Statistical Methods [[electronic resource] /] / by Rand R. Wilcox
A Guide to Robust Statistical Methods [[electronic resource] /] / by Rand R. Wilcox
Autore Wilcox Rand R
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (335 pages)
Disciplina 519.5
Soggetto topico Statistics
Sampling (Statistics)
Statistical Theory and Methods
Applied Statistics
Methodology of Data Collection and Processing
ISBN 3-031-41713-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction -- 2. The one-sample case -- 3. Comparing two independent groups -- 4. Comparing two dependent groups -- 5. Comparing multiple independent groups -- 6. Comparing multiple dependent groups -- 7. Robust regression estimators -- 8. Inferential methods based on robust regression estimators -- 9. Measures of association -- 10. Comparing groups when there is a covariate.
Record Nr. UNINA-9910755072503321
Wilcox Rand R  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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The Independence of Official Statistics : Norms, Arrangements, Instruments / / by Jean-Guy Prévost
The Independence of Official Statistics : Norms, Arrangements, Instruments / / by Jean-Guy Prévost
Autore Prévost Jean-Guy
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (209 pages)
Disciplina 300.727
Collana Society, Environment and Statistics
Soggetto topico Social sciences - Statistical methods
Comparative government
Sampling (Statistics)
Quantitative research
Political science
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Comparative Public Policy
Methodology of Data Collection and Processing
Data Analysis and Big Data
Governance and Government
Governs comparats
Mostreig (Estadística)
Soggetto genere / forma Llibres electrònics
ISBN 3-031-40829-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- About the Author -- Abbreviations -- List of Figures -- List of Tables -- Chapter 1: Introduction: The Problem of Independence -- 1.1 Neoliberal Statistics? -- 1.2 Independent Authorities -- 1.3 Epistemic Communities -- 1.4 Politics and Policies -- 1.5 Plan of the Book -- Chapter 2: The Legal Display of Independence -- 2.1 Models of Display: A General Overview -- 2.1.1 Locating Independence in a Subject -- 2.1.1.1 More than a Third of the OECD´s NSOs (14 out of 36) Ascribe Independence or Autonomy to the NSO as a Body or an Organi... -- 2.1.1.2 A Few Statistical Acts Locate Independence in the Person of the Chief Statistician, While Being Quite Explicit as to H... -- 2.1.1.3 Several Statistical Acts Are Written So That Not Only Is the NSO Endowed with Independence, But So Is the Chief Officer -- 2.1.2 Attaching Independence to Products and Processes -- 2.1.3 Independence De Facto? -- 2.2 Empowering and Protecting the Chief Statistician -- 2.2.1 Professional Authority -- 2.2.2 Designating the Chief Statistician -- 2.2.3 Tenure and Dismissal -- Chapter 3: The Organization of Institutional Independence -- 3.1 Locating the NSO -- 3.2 Coordination and Authority: The Statistical System -- 3.3 Advising, Governing, Monitoring: Statistical Councils -- 3.3.1 An Overview -- 3.3.2 A Closer Examination of Specific Cases -- 3.3.2.1 Belgium -- 3.3.2.2 Ireland -- 3.3.2.3 Portugal -- 3.3.2.4 France -- 3.3.2.5 Greece -- Chapter 4: The Instruments of Professional Independence -- 4.1 Government Commitments -- 4.2 Pre-release Policies and Dissemination Calendars -- 4.3 Codes of Practice -- 4.4 Quality Frameworks -- 4.5 Peer Reviews, Self-Assessments, and the Epistemic Community as Watchdog -- 4.5.1 The ESS Peer Reviews -- 4.5.2 The IMF Reports on the Observance of Standards and Codes -- 4.5.3 The OECD Assessments and Self-assessments.
4.5.4 The Epistemic Community as Watchdog -- Chapter 5: Patterns, Paths, and Processes: The Dissemination of Independence -- 5.1 The Index of Independence -- 5.2 Clusters and Patterns -- 5.2.1 Functional Groups -- 5.2.2 Historical-Geographical Groups -- 5.2.3 The Logic of Protection and Capacity -- 5.2.4 Convergence Between Dimensions -- 5.3 Paths, Processes, and Limits of Diffusion -- 5.3.1 Coercion -- 5.3.2 Learning -- 5.3.3 Common Norms -- 5.3.4 Competitive and Cooperative Interdependence -- 5.3.5 Taken-for-Grantedness -- 5.3.6 Symbolic Imitation -- 5.3.7 The Limits of Diffusion -- Chapter 6: Conclusion: Expanding Independence? -- 6.1 Towards More Independence? -- 6.2 Independence Beyond the OECD -- 6.3 Coming Challenges -- References -- A. Legal, Official, and Semi-official Documents: International and Supranational Bodies -- 1. United Nations (UN) -- 2. Organization for Economic Co-operation and Development (OECD) -- 3. European Institutions -- 4. International Monetary Fund (IMF) -- 5. International Statistical Institute (ISI) -- 6. Other -- B. Legal, Official, and Semi-official Documents: OECD Countries -- Australia -- Austria -- Belgium -- Canada -- Chile -- Colombia -- Costa Rica -- Czech Republic -- Denmark -- Estonia -- Finland -- France -- Germany -- Greece -- Hungary -- Iceland -- Ireland -- Israel -- Italy -- Japan -- Korea -- Latvia -- Lithuania -- Luxemburg -- Mexico -- Netherlands -- New Zealand -- Norway -- Poland -- Portugal -- Slovak Republic -- Slovenia -- Spain -- Sweden -- Switzerland -- Turkey -- United Kingdom -- United States -- C. Articles and Books -- Index.
Record Nr. UNINA-9910760266803321
Prévost Jean-Guy  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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The Problem of Coronal Heating : A Rosetta Stone for Electrodynamic Coupling in Cosmic Plasmas / / by Philip Judge, James A. Ionson
The Problem of Coronal Heating : A Rosetta Stone for Electrodynamic Coupling in Cosmic Plasmas / / by Philip Judge, James A. Ionson
Autore Judge Philip
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (275 pages)
Disciplina 523.7
Altri autori (Persone) IonsonJames A
Collana Astrophysics and Space Science Library
Soggetto topico Plasma astrophysics
Sampling (Statistics)
Astronomy - Observations
Solar Physics
Astrophysical Plasma
Methodology of Data Collection and Processing
Astronomy, Observations and Techniques
ISBN 3-031-46273-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Magneto-hydrodynamics -- Challenges -- Methodologies -- Seeking the Sun’s Achilles’ Heels -- Fresh approaches -- Closing thoughts.
Record Nr. UNINA-9910845095603321
Judge Philip  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Spatial Socio-econometric Modeling (SSEM) [[electronic resource] ] : A Low-Code Toolkit for Spatial Data Science and Interactive Visualizations Using R / / by Manuel S. González Canché
Spatial Socio-econometric Modeling (SSEM) [[electronic resource] ] : A Low-Code Toolkit for Spatial Data Science and Interactive Visualizations Using R / / by Manuel S. González Canché
Autore González Canché Manuel S
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (532 pages)
Disciplina 300
Collana Springer Texts in Social Sciences
Soggetto topico Social sciences
Sampling (Statistics)
Computer simulation
Machine learning
Society
Methodology of Data Collection and Processing
Computer Modelling
Machine Learning
ISBN 3-031-24857-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I Conceptual and Theoretical Underpinnings -- Chapter 1. SPlaces -- Chapter 2. Operationalizing Splaces -- Chapter 3. Data Formats, Coordinate Reference Systems, and Differential Privacy Frameworks -- Part II Data Science SSEM Identification Tools: Distances, Networks, and Neighbors -- Chapter 4. Access and Management of Spatial or Geocoded Data -- Chapter 5. Distances -- Chapter 6. Geographical Networks as Identification Tools -- Part III SSEM Hypothesis Testing of Cross-sectional and Spatio-temporal Data and Interactive Visualizations -- Chapter 7. SODA: Spatial Outcome Dependence or Autocorrelation -- Chapter 8. SSEM Regression Based analyses -- Chapter 9. Visualization, Mining, and Density Analyses of Spatial and Spatio-temporal Data -- Chapter 10. Final Words -- Glossary -- Index.
Record Nr. UNINA-9910746082703321
González Canché Manuel S  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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