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Albedo data sets for bifacial PV systems / / Bill Marion
| Albedo data sets for bifacial PV systems / / Bill Marion |
| Autore | Marion William F. |
| Pubbl/distr/stampa | Golden, CO : , : National Renewable Energy Laboratory, , [June-August 2021] |
| Descrizione fisica | 1 online resource (11 pages) : color illustrations |
| Collana | NREL/PR |
| Soggetto topico |
Photovoltaic power generation - United States
Albedo Data sets - United States Data sets Photovoltaic power generation |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Albedo data sets for bifacial photovoltaic systems |
| Record Nr. | UNINA-9910716840803321 |
Marion William F.
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| Golden, CO : , : National Renewable Energy Laboratory, , [June-August 2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Convolutional neural networks with Swift for Tensorflow : image recognition and dataset categorization / / Brett Koonce
| Convolutional neural networks with Swift for Tensorflow : image recognition and dataset categorization / / Brett Koonce |
| Autore | Koonce Brett |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | [Place of publication not identified] : , : Apress, , [2021] |
| Descrizione fisica | 1 online resource (XXI, 245 p. 1 illus.) |
| Disciplina | 006.32 |
| Soggetto topico |
TensorFlow
Neural networks (Computer science) Data sets |
| ISBN | 1-4842-6168-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: MNIST: 1D Neural Network -- Chapter 2: MNIST: 2D Neural Network -- Chapter 3: CIFAR: 2D Nueral Network with Blocks -- Chapter 4: VGG Network -- Chapter 5: Resnet 34 -- Chapter 6: Resnet 50 -- Chapter 7: SqueezeNet -- Chapter 8: MobileNrt v1 -- Chapter 9: MobileNet v2 -- Chapter 10: Evolutionary Strategies -- Chapter 11: MobileNet v3 -- Chapter 12: Bag of Tricks -- Chapter 13: MNIST Revisited -- Chapter 14: You are Here. |
| Record Nr. | UNINA-9910483468203321 |
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Koonce Brett
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| [Place of publication not identified] : , : Apress, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Knowledge engineering and data science
| Knowledge engineering and data science |
| Pubbl/distr/stampa | Malang : , : Department of Electrical Engineering, Universitas Negeri Malang, , [2018]- |
| Descrizione fisica | 1 online resource (volumes) |
| Soggetto topico |
Data mining
Data sets Statistics Machine learning |
| Soggetto genere / forma |
Electronic journals.
Periodicals. |
| ISSN | 2597-4637 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | KEDS |
| Record Nr. | UNISA-996321021503316 |
| Malang : , : Department of Electrical Engineering, Universitas Negeri Malang, , [2018]- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Knowledge engineering and data science
| Knowledge engineering and data science |
| Pubbl/distr/stampa | Malang : , : Department of Electrical Engineering, Universitas Negeri Malang, , [2018]- |
| Descrizione fisica | 1 online resource (volumes) |
| Soggetto topico |
Data mining
Data sets Statistics Machine learning |
| Soggetto genere / forma |
Electronic journals.
Periodicals. |
| ISSN | 2597-4637 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | KEDS |
| Record Nr. | UNINA-9910330724003321 |
| Malang : , : Department of Electrical Engineering, Universitas Negeri Malang, , [2018]- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Legacy data evaluation report for Amistad National Recreation Area / / James Von Loh, Dan Cogan
| Legacy data evaluation report for Amistad National Recreation Area / / James Von Loh, Dan Cogan |
| Autore | Von Loh James |
| Pubbl/distr/stampa | Fort Collins, Colorado : , : U.S. Department of the Interior, National Park Service, Natural Resource Program Center, , 2011 |
| Descrizione fisica | 1 online resource (x, 26 pages) : color illustration, color maps |
| Collana | Natural resource report |
| Soggetto topico |
Data sets
Vegetation monitoring - Texas - Amistad National Recreation Area Vegetation surveys - Texas - Amistad National Recreation Area Environmental monitoring - Texas - Amistad National Recreation Area |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Amistad National Recreation Area |
| Record Nr. | UNINA-9910713484103321 |
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Von Loh James
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| Fort Collins, Colorado : , : U.S. Department of the Interior, National Park Service, Natural Resource Program Center, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Small sample size solutions : a guide for applied researchers and practitioners / / edited by Rens van de Schoot and Milica Miočević
| Small sample size solutions : a guide for applied researchers and practitioners / / edited by Rens van de Schoot and Milica Miočević |
| Autore | van de Schoot Rens |
| Pubbl/distr/stampa | Taylor & Francis, 2020 |
| Descrizione fisica | 1 online resource (xiv, 269 pages) : digital, PDF file(s) |
| Disciplina | 001.42 |
| Collana | European Association of Methodology series |
| Soggetto topico |
Research - Methodology
Data sets |
| Soggetto non controllato |
statistical methods
researchers statistical model research small sample estimation population variables observations social sciences behavioral sciences medical sciences epidemiology psychology marketing economics analysis |
| ISBN |
1-000-76101-0
1-000-76108-8 0-367-22222-1 0-429-27387-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction (Van de Schootand Miočević) List of Symbols Part I: Bayesian solutions 1. Introduction to Bayesian statistics(Miočević, Levy,and van de Schoot) 2.The role of exchangeability in sequential updating of findings from small studies and the challenges of identifying exchangeable data sets (Miočević, Levy,and Savord) 3. A tutorial on using the WAMBS checklist to avoid the misuse of Bayesian statistics(van de Schoot, Veen, Smeets, Winter,and Depaoli) 4. The importance of collaboration in Bayesian analyses with small samples (Veenand Egberts) 5. A tutorial on Bayesian penalized regression with shrinkage priors for small sample sizes (van Erp) PartII: n=1 6. One by one: the designand analysis of replicated randomized single-case experiments(Onghena) 7. Single-case experimental designs in clinical intervention research (Maricand van der Werff) 8. How to improve the estimation of a specific examinee's (n=1)math ability when test data are limited(Lekand Arts) 9. Combining evidence over multiple individual analyses(Klaassen) 10. Going multivariate in clinical trial studies: a Bayesian framework for multiple binary outcomes(Kavelaars) PartIII: Complex hypotheses and models 11. An introduction to restriktor: evaluating informative hypotheses for linear models (VanbrabantandRosseel) 12. Testing replication with small samples: applications to ANOVA(Zondervan-Zwijnenburgand Rijshouwer) 13. Small sample meta-analyses: exploring heterogeneity using MetaForest (van Lissa) 14. Item parcels as indicators: why, when, and how to use them in small sample research(Rioux, Stickley, Odejimi,and Little) 15. Small samples in multilevel modeling(Hoxand McNeish) 16. Small sample solutions for structural equation modeling(Rosseel) 17. SEM with small samples: two-step modeling and factor score regression versus Bayesian estimation with informative priors (Smidand Rosseel) 18. Important yet unheeded: some small sample issues that are often overlooked(Hox) Index |
| Record Nr. | UNINA-9910377813603321 |
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van de Schoot Rens
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| Taylor & Francis, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Value sets for EQ-5D-5L : a compendium, comparative review & user guide / / N. J. Devlin, Bram Roudijk, Kristina Ludwig, editors
| Value sets for EQ-5D-5L : a compendium, comparative review & user guide / / N. J. Devlin, Bram Roudijk, Kristina Ludwig, editors |
| Autore | Devlin Nancy |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (290 pages) |
| Altri autori (Persone) |
RoudijkBram
LudwigKristina |
| Soggetto topico |
Data sets
Medical economics Quality of life - Research Questionnaires - Data processing Social issues & processes Health economics Qualitat de vida Enquestes Conjunts de dades |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
EQ-5D-5L
Value Set Methodology Compendium of Value Sets Valuation Protocol Valuation |
| ISBN | 3-030-89289-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword by Michael Drummond -- Foreword by Kim Rand -- Preface -- Acknowledgements -- Contents -- About the Editors -- Contributors -- Chapter 1: The Development of the EQ-5D-5L and its Value Sets -- 1.1 The EQ-5D as an Instrument for Measuring and Valuing Health -- 1.2 The Development of the EQ-5D-5L -- 1.3 The need for EQ-5D-5L Values -- 1.4 The Aims of this Book -- References -- Chapter 2: The Development and Strengthening of Methods for Valuing EQ-5D-5L - An Overview -- 2.1 Development of the EQ-VT Protocol -- 2.2 Description of the EQ-VT Protocol -- 2.2.1 Contents of the Protocol -- 2.2.2 Why the cTTO Task was Adopted -- 2.2.3 Why the DCE Task was Adopted -- 2.2.4 Value Set Generation -- 2.3 How the EQ-VT Protocol Updates Evolved -- 2.4 Lessons Learned -- 2.5 Concluding Remarks -- References -- Chapter 3: Experimental Design for the Valuation of the EQ-5D-5L -- 3.1 Introduction -- 3.2 EQ-VT Designs -- 3.2.1 cTTO Design -- 3.2.2 DCE Design -- 3.2.3 Other Considerations -- 3.3 Alternative cTTO Designs -- 3.4 Future Research -- Appendices -- Appendix A: Construction for Level Balance Optimisation Criterion -- Appendix B: The cTTO design of the EQ-VT -- Appendix C: The DCE design of the EQ-VT -- Appendix D: The Design Used in the Peruvian EQ-5D-5L Valuation Study -- References -- Chapter 4: EQ-5D-5L Value Set Summaries -- 4.1 Introduction -- 4.2 Methods -- 4.3 Country-by-Country Overview of Value Sets -- 4.3.1 Wave 1 -- 4.3.1.1 Country/Region: Canada (Table 4.1) -- 4.3.1.2 Country/Region: China (Table 4.5) -- 4.3.1.3 Country/Region: England (Table 4.9) -- 4.3.1.4 Country/Region: Netherlands (Table 4.13) -- 4.3.1.5 Country/Region: Spain (Table 4.17) -- 4.3.2 Wave 2 -- 4.3.2.1 Country/Region: Japan (Table 4.21) -- 4.3.2.2 Country/Region: Korea (Table 4.25) -- 4.3.2.3 Country/Region: Thailand (Table 4.29).
4.3.2.4 Country/Region: Uruguay (Table 4.33) -- 4.3.2.5 Country/Region: Hong Kong (Table 4.37) -- 4.3.3 Wave 3 -- 4.3.3.1 Country/Region: France (Table 4.41) -- 4.3.3.2 Country/Region: Germany (Table 4.45) -- 4.3.3.3 Country/Region: Indonesia (Table 4.49) -- 4.3.3.4 Country/Region: Ireland (Table 4.53) -- 4.3.3.5 Country/Region: Malaysia (Table 4.57) -- 4.3.3.6 Country/Region: Poland (Table 4.61) -- 4.3.3.7 Country/Region: Portugal (Table 4.65) -- 4.3.3.8 Country/Region: Taiwan (Table 4.69) -- 4.3.3.9 Country/Region: Denmark (Table 4.73) -- 4.3.3.10 Country/Region: Ethiopia (Table 4.77) -- 4.3.3.11 Country/Region: Hungary (Table 4.81) -- 4.3.3.12 Country/Region: Mexico (Table 4.85) -- 4.3.3.13 Country/Region: Peru (Table 4.89) -- 4.3.3.14 Country/Region: United States (Table 4.93) -- 4.3.3.15 Country/Region: Vietnam (Table 4.97) -- Chapter 5: Guidance to Users of EQ-5D-5L Value Sets -- 5.1 Introduction -- 5.2 Which Value Set Should Be Used to Estimate QALYs? - An Overview -- 5.2.1 End Users' Requirements and Recommendations -- 5.2.2 Relevance to the Population to Whom the Analysis Refers -- 5.2.3 Empirical Characteristics of the Value Sets -- 5.2.4 Transparency and Uncertainty -- 5.3 Which Value Set to Use in 'Non-QALY' Applications - An Overview -- 5.4 Choosing Value Sets - Some Further Considerations -- 5.4.1 Relevance to the Decision-Making Context -- 5.4.2 The Theoretical Properties of Values and Value Sets -- 5.5 Concluding Remarks -- References -- Chapter 6: How Do EQ-5D-5L Value Sets Differ? -- 6.1 Introduction -- 6.2 Methods -- 6.2.1 Analysing Differences Between Value Sets -- 6.2.2 Defining Preference Patterns and the Performance of These Patterns -- 6.3 Differences Between Value Sets -- 6.3.1 Relative Importance of the Dimensions -- 6.3.2 Marginal Value Decrements of Moving from One Level to Another. 6.3.3 Scale Length and Location of the Descriptive Midpoint on the Health Utility Scale -- 6.4 Identifying Preference Patterns -- 6.5 How Do These Preference Patterns Perform? -- 6.6 Discussion -- 6.6.1 Main Findings -- 6.6.2 Preference Patterns -- 6.6.3 Data Quality and Modelling Strategies -- 6.6.4 Differences Between Value Sets Between and Within Preference Patterns -- 6.6.5 Limitations -- 6.7 Conclusions -- References -- Chapter 7: Where Next for EQ-5D-5L National Value Sets and the EQ-VT Protocol? -- 7.1 Introduction -- 7.2 Future Directions for Improvements in the EQ-VT - An Overview -- 7.2.1 What Methods to Use? -- 7.2.2 Procedural Aspects -- 7.2.3 Analysis and Modelling -- 7.3 Developing Alternative Approaches and Answering Different Questions -- 7.4 Making Scientific and Social Value Judgements About Value Sets -- 7.5 Adapting to Change -- 7.6 Concluding Remarks -- References -- Glossary of EQ-5D Terms -- References. |
| Record Nr. | UNINA-9910555235703321 |
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Devlin Nancy
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| Cham, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soggetto topico
-
Data sets
(7)
- Data mining (2)
- Machine learning (2)
- Statistics (2)
- Albedo (1)