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Actionable Science of Global Environment Change : From Big Data to Practical Research / / edited by Ziheng Sun
Actionable Science of Global Environment Change : 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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Applied Statistics : Methods Using R / / by Jürgen Hedderich, Lothar Sachs
Applied Statistics : Methods Using R / / by Jürgen Hedderich, Lothar Sachs
Autore Hedderich Jürgen
Edizione [3rd ed. 2024.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (1056 pages)
Disciplina 001.433
Altri autori (Persone) SachsLothar
Soggetto topico Sampling (Statistics)
Statistics
Biometry
Methodology of Data Collection and Processing
Applied Statistics
Biostatistics
Statistical Theory and Methods
ISBN 9783662700747
3662700743
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Fundamentals of Planning Scientific Work -- Fundamentals of Mathematics -- Descriptive Statistics -- Probabilities -- Random Variables, Distributions -- Estimation -- Hypothesis Testing -- Statistical Model Building -- Introduction to R -- References -- Author Index -- Subject Index -- Examples Index -- R Functions Index.
Record Nr. UNINA-9910917188803321
Hedderich Jürgen  
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Are Statistics Only Made of Data? : Know-how and Presupposition from the 17th and 19th Centuries / / by Éric Brian
Are Statistics Only Made of Data? : Know-how and Presupposition from the 17th and 19th Centuries / / by Éric Brian
Autore Brian Éric
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (181 pages)
Disciplina 300
Collana Methodos Series, Methodological Prospects in the Social Sciences
Soggetto topico Social sciences
Sampling (Statistics)
Statistics
History
Science - Philosophy
Knowledge, Theory of
Society
Methodology of Data Collection and Processing
History of Statistics
Philosophy of Science
Epistemology
ISBN 3-031-51254-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Foreword: The Peculiar Meanings of Data -- Chapter 1: Considering Data: Critique and Method -- Chapter 2: Data Arithmetic, Ratios and Mechanical Reasoning in the 17th Century -- Chapter 3: Analytical Probability, Averages and Data Distributions in the 19th Century -- Chapter 4: Idols, Paradigms and Specters in Data Sciences -- List of illustations.-List of references.-General index.
Record Nr. UNINA-9910842492203321
Brian Éric  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Biostatistics in Biopharmaceutical Research and Development : Clinical Trial Analysis, Volume 2 / / edited by Ding-Geng Chen
Biostatistics in Biopharmaceutical Research and Development : Clinical Trial Analysis, Volume 2 / / edited by Ding-Geng Chen
Autore Chen Ding-Geng
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (522 pages)
Disciplina 519.5
Soggetto topico Statistics
Biometry
Clinical medicine - Research
Sampling (Statistics)
Public health
Biostatistics
Clinical Research
Methodology of Data Collection and Processing
Survey Methodology
Public Health
ISBN 9783031659379
9783031659362
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistical Challenges in the Analysis of Biomarker Data -- 2. Evaluating Predictive Accuracy of Prognostic Model for Censored Time-to-Event Data Analysis in Clinical Trials -- Statistical Methods for Accommodating Immortal Time: A Selective Review and Comparison -- Variable selection for partially functional additive Cox Model with interval-censored failure time data -- A Bayesian proportional hazards model to predict patient recruitment in multicenter clinical trials -- GET MORE INFORMATION FROM RECURRENT EVENTS DATA -- Introduction to Patient Preference Studies -- Machine Learning for Precision Medicine and Humanized AI for Future Healthcare -- The Statistical Evaluation of Surrogate Endpoints in Clinical Trials -- Treatment Effect Estimation Using Data from Observational and Non-Randomized Studies -- Methods for Comparing Two Treatments for a Dichotomous Outcome for a Two-Period Design with Treatment Switching of Control Group Period 1 Non-Responders -- Regression-based estimation of optimal adaptive treatment strategies: Key methods -- Vaccine Disease-Prevention Efficacy Studies: Traditional Approaches and New Frontiers -- Covariate Adjustment in Analyzing Randomized Clinical Trials: Approaches, Software, and Application -- Joint correlated responses and feedback effect with time-dependent covariates -- Distributions and Their Approximations for P-Values.
Record Nr. UNINA-9910919809503321
Chen Ding-Geng  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Case Studies in the Virtual Physical Chemistry Laboratory / / by Anthony J. Duben
Case Studies in the Virtual Physical Chemistry Laboratory / / 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 542.0289
Collana Physical Chemistry in Action
Soggetto topico Chemistry, Physical and theoretical
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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Data-Intensive Radio Astronomy : Bringing Astrophysics to the Exabyte Era / / edited by Eleni Vardoulaki, Marta Dembska, Alexander Drabent, Matthias Hoeft
Data-Intensive Radio Astronomy : Bringing Astrophysics to the Exabyte Era / / edited by Eleni Vardoulaki, Marta Dembska, Alexander Drabent, Matthias Hoeft
Autore Vardoulaki Eleni
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (461 pages)
Disciplina 522.682
Altri autori (Persone) DembskaMarta
DrabentAlexander
HoeftMatthias
Collana Astrophysics and Space Science Library
Soggetto topico Astronomy - Observations
Astrophysics
Quantitative research
Sampling (Statistics)
Computer science
Astronomy, Observations and Techniques
Data Analysis and Big Data
Methodology of Data Collection and Processing
Computer Science
ISBN 9783031584688
3031584686
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Introduction - Concepts and challenges of data-intensive radio astronomy -- Part 1. DATA CREATION, STORAGE AND ARCHIVES -- CHAPTER 1: From the data generation to the archive -- CHAPTER 2: Storage and archives -- CHAPTER 3: Computing infrastructure -- Part 2. DATA PROCESSING -- CHAPTER 4: Challenges of radio data processing (big radio data processing) -- CHAPTER 5: Implementations for specific radio observatories -- CHAPTER 6: Co-design and software architecture -- CHAPTER 7: Lesson learned from SKA pathfinders regarding processing -- PART 3. POST-PROCESSING AND DATA ANALYSIS -- CHAPTER 8: Continuum Source extraction and identification -- CHAPTER 9: Other types of source extraction and identification -- CHAPTER 10: Using AI for radio (big) data -- CHAPTER 11: Visualisation for analysis -- PART 4. DATA ACCESS AND REUSE (accessibility, VR/VO FAIR) -- CHAPTER 12: Exploitation platforms & Virtual Observatory -- CHAPTER 14: Data documentation beyond provenance: metadata, Research Data Management (RDM), FAIR -- Epilogue and future outlook -- Glossary -- Index.
Record Nr. UNINA-9910906300603321
Vardoulaki Eleni  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Databricks Data Intelligence Platform : Unlocking the GenAI Revolution / / by Nikhil Gupta, Jason Yip
Databricks Data Intelligence Platform : Unlocking the GenAI Revolution / / by Nikhil Gupta, Jason Yip
Autore Gupta Nikhil
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2024
Descrizione fisica 1 online resource (481 pages)
Disciplina 001.422
005.7
Altri autori (Persone) YipJason
Soggetto topico Quantitative research
Database management
Machine learning
Electronic data processing - Management
Sampling (Statistics)
Data Analysis and Big Data
Database Management
Machine Learning
IT Operations
Methodology of Data Collection and Processing
ISBN 979-88-6880-444-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction -- 2. Lakehouse Platform -- 3. Databricks Platform Overview -- 4. Data Ingestion and Real-Time Analytics -- 5. Delta Lake: Deep Dive -- 6. Data Governance with Unity Catalog -- 7. Data Engineering and Analytics -- 8. Data Science, Machine Learning, and AI -- 9. Building GenAI Applications on Databricks Platform -- 10. Data Warehousing with DBSQL -- 11. Data Intelligence Platform -- 12. CI/CD and Application Development -- 13. Databricks Pricing and Observability using System Tables -- 14. Platform Security and Compliance -- 15. Advanced Topics and Industry Applications -- 16. Streaming Applications and HA/DR -- 17. Databricks in the Cloud Ecosystem -- 18. Conclusion.
Record Nr. UNINA-9910896524003321
Gupta Nikhil  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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A Guide to Robust Statistical Methods / / by Rand R. Wilcox
A Guide to Robust Statistical Methods / / 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
Estadística matemàtica
Soggetto genere / forma Llibres electrònics
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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High-quality and Timely Statistics : New Methods and Applications / / edited by Marco Mingione, Maurizio Vichi, Giorgia Zaccaria
High-quality and Timely Statistics : New Methods and Applications / / edited by Marco Mingione, Maurizio Vichi, Giorgia Zaccaria
Autore Mingione Marco
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (274 pages)
Disciplina 519.5
Altri autori (Persone) VichiMaurizio
ZaccariaGiorgia
Collana Studies in Theoretical and Applied Statistics
Soggetto topico Social sciences - Statistical methods
Statistics
Sampling (Statistics)
Quantitative research
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Statistics in Business, Management, Economics, Finance, Insurance
Methodology of Data Collection and Processing
Data Analysis and Big Data
Applied Statistics
ISBN 3-031-63630-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910899898203321
Mingione Marco  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
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
310.6
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 9783031408298
3031408292
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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