top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
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
Opac: Controlla la disponibilità qui
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 519.5
Soggetto topico Sampling (Statistics)
Statistics
Biometry
R (Llenguatge de programació)
Mostreig (Estadística)
Biometria
Estadística matemàtica
Dades de recerca
Methodology of Data Collection and Processing
Applied Statistics
Biostatistics
Statistical Theory and Methods
Soggetto genere / forma Llibres electrònics
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
Opac: Controlla la disponibilità qui
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 9783031512544
3031512545
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
Opac: Controlla la disponibilità qui
Basic Principles of Applied Medical Statistics : A Practical Guide / / by Jos W. R. Twisk
Basic Principles of Applied Medical Statistics : A Practical Guide / / by Jos W. R. Twisk
Autore Twisk Jos W. R
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (XII, 268 p. 59 illus., 34 illus. in color.)
Disciplina 570.15195
Soggetto topico Biometry
Sampling (Statistics)
Biostatistics
Methodology of Data Collection and Processing
ISBN 3-031-86278-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto - 1. Introduction -- 2. Descriptive Statistics -- 3. Basic Principles of Explanatory Statistics -- 4. The Analysis of a Continuous Outcome Variable -- 5. The Analysis of a Dichotomous Outcome Variable -- 6. The Analysis of Survival Data -- 7. Multiple Regression Analysis – Association Models and Prediction Models -- 8. Machine Learning -- 9. Other Outcome Variables -- 10. Missing Data -- 11. Pitfalls in (Multiple) Regression Analysis -- 12. Miscellaneous -- 13. Overview -- 14. Example Datasets.
Record Nr. UNINA-9910999792303321
Twisk Jos W. R  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Big Qual : A Guide to Breadth-and-Depth Analysis / / by Susie Weller, Emma Davidson, Rosalind Edwards, Lynn Jamieson
Big Qual : A Guide to Breadth-and-Depth Analysis / / by Susie Weller, Emma Davidson, Rosalind Edwards, Lynn Jamieson
Autore Weller Susie
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2023
Descrizione fisica 1 online resource (228 pages)
Disciplina 001.42
Altri autori (Persone) DavidsonEmma
EdwardsRosalind
JamiesonLynn
Soggetto topico Sociology - Methodology
Quantitative research
Sampling (Statistics)
Sociological Methods
Data Analysis and Big Data
Methodology of Data Collection and Processing
ISBN 9783031363245
3031363248
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto PART I: FROM BIG QUAL TO THE BREADTH-AND-DEPTH METHOD -- 1. The place and value of large-scale qualitative data analysis -- 2. Introducing the breadth-and-depth method -- PART II: AN ENQUIRY-LED OVERVIEW OF QUALITATIVE RESEARCH DATA SETS -- 3. Sourcing and searching for suitable data sets -- 4. ‘Ariel surveying’: Overviewing the data and constructing a corpus -- PART III: MOVING BETWEEN BREADTH-AND-DEPTH IN QUALITATIVE ANALYSIS -- 5. ‘Geophysical surveying’: Recursive surface ‘thematic’ mapping using data mining tools -- 6. ‘Test pit sampling’: Preliminary analysis -- 7. ‘Deep excavations’: In-depth interpretive analysis -- PART IV: REFLECTING ON THE IMPLICATIONS OF LARGE-SCALE QUALITATIVE ANALYSIS -- 8. Ethics and practice -- 9. Big qual and the future of qualitative analysis.
Record Nr. UNINA-9910767554603321
Weller Susie  
Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
Data-driven Modelling of Wind Farm Flow Control Strategies / / by Nassir Cassamo, Jan-Willen van Wingerden
Data-driven Modelling of Wind Farm Flow Control Strategies / / by Nassir Cassamo, Jan-Willen van Wingerden
Autore Cassamo Nassir
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (XIV, 156 p. 90 illus., 76 illus. in color.)
Disciplina 620.00285
Soggetto topico Engineering - Data processing
Wind power
Engineering mathematics
Sampling (Statistics)
Energy storage
Renewable energy sources
Data Engineering
Wind Energy
Mathematical and Computational Engineering Applications
Methodology of Data Collection and Processing
Mechanical and Thermal Energy Storage
Renewable Energy
ISBN 3-031-84116-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Wind Turbine and Wind Farm Control -- Data-Driven Modelling of Wind Farm Control Strategies -- Methodology for Modelling Wind Farm Control Strategies -- Data Driven Modelling of Wake Redirection Control -- Data-Driven Modelling of Axial Induction Control -- Advanced Topics -- Conclusions.
Record Nr. UNINA-9910988287403321
Cassamo Nassir  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui