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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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Environmental data science
| Environmental data science |
| Pubbl/distr/stampa | [Cambridge, United Kingdom] : , : Cambridge University Press, , 2022- |
| Soggetto topico |
Environmental sciences
Data sets Climatic changes Sciences de l'environnement - Informatique Sciences de l'environnement - Modèles mathématiques Environmental sciences - Mathematical models Environmental sciences - Data processing |
| Soggetto genere / forma |
Periodicals.
Periodicals periodicals. Périodiques. |
| ISSN | 2634-4602 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | EDS |
| Record Nr. | UNINA-9910874781703321 |
| [Cambridge, United Kingdom] : , : Cambridge University Press, , 2022- | ||
| 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 | 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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Soggetto topico
-
Data sets
(6)
- Data mining (2)
- Machine learning (2)
- Statistics (2)
- Albedo (1)