| Rooftop solar photovoltaic technical potential in the United States. A detailed assessment P Gagnon, R Margolis, J Melius, C Phillips, R Elmore National Renewable Energy Lab.(NREL), Golden, CO (United States), 2016 | 279 | 2016 |
| Nonparametric inference in multivariate mixtures P Hall, A Neeman, R Pakyari, R Elmore Biometrika 92 (3), 667-678, 2005 | 103 | 2005 |
| Modeling photovoltaic diffusion: an analysis of geospatial datasets C Davidson, E Drury, A Lopez, R Elmore, R Margolis Environmental Research Letters 9 (7), 074009, 2014 | 93 | 2014 |
| Estimating rooftop solar technical potential across the US using a combination of GIS-based methods, lidar data, and statistical modeling P Gagnon, R Margolis, J Melius, C Phillips, R Elmore Environmental Research Letters 13 (2), 024027, 2018 | 73 | 2018 |
| Using GIS-based methods and lidar data to estimate rooftop solar technical potential in US cities R Margolis, P Gagnon, J Melius, C Phillips, R Elmore Environmental Research Letters 12 (7), 074013, 2017 | 67 | 2017 |
| Hybrid model-based and data-driven fault detection and diagnostics for commercial buildings S Frank, M Heaney, X Jin, J Robertson, H Cheung, R Elmore, G Henze National Renewable Energy Lab.(NREL), Golden, CO (United States), 2016 | 55 | 2016 |
| Spherical data depth and a multivariate median RT Elmore, TP Hettmansperger, F Xuan DIMACS Series in Discrete Mathematics and Theoretical Computer Science 72, 87, 2006 | 40 | 2006 |
| An application of classical invariant theory to identifiability in nonparametric mixtures R Elmore, P Hall, A Neeman Annales de l'institut Fourier 55 (1), 1-28, 2005 | 40 | 2005 |
| Identifiability and estimation in finite mixture models with multinomial coefficients RT Elmore, S Wang Technical Report 03-04, Penn State University, 2003 | 32 | 2003 |
| Estimating component cumulative distribution functions in finite mixture models RT Elmore, TP Hettmansperger, H Thomas Communications in Statistics-Theory and Methods 33 (9), 2075-2086, 2004 | 28 | 2004 |
| Can machines learn capital structure dynamics? S Amini, R Elmore, Ö Öztekin, J Strauss Journal of Corporate Finance 70, 102073, 2021 | 22 | 2021 |
| mixtools: Tools for analyzing finite mixture models D Young, T Benaglia, D Chauveau, D Hunter, R Elmore, ... See https://cran. r-project. org/web/packages/mixtools/index. html, 2016 | 19 | 2016 |
| Loss aversion in professional golf R Elmore, A Urbaczewski Journal of Sports Economics 22 (2), 202-217, 2021 | 18 | 2021 |
| mixtools: Tools for mixture models DS Young, T Benaglia, D Chauveau, RT Elmore, TP Hettmansperger, ... R package version 0.3 3, 2009 | 15 | 2009 |
| A data mining approach to estimating rooftop photovoltaic potential in the US C Phillips, R Elmore, J Melius, P Gagnon, R Margolis Journal of Applied Statistics 46 (3), 385-394, 2019 | 14 | 2019 |
| A case study to examine the imputation of missing data to improve clustering analysis of building electrical demand D Inman, R Elmore, B Bush Building Services Engineering Research and Technology 36 (5), 628-637, 2015 | 14 | 2015 |
| Prediction and characterization of application power use in a high‐performance computing environment B Bugbee, C Phillips, H Egan, R Elmore, K Gruchalla, A Purkayastha Statistical Analysis and Data Mining: The ASA Data Science Journal 10 (3 …, 2017 | 13 | 2017 |
| Rooftop Solar Photovoltaic Technical Potential in the United States: A Detailed Assessment. National Renewable Energy Laboratory P Gagnon, R Margolis, J Melius, C Phillips, R Elmore Technical report: NREL/TP-6A20–65298, 2016 | 12 | 2016 |
| Rooftop solar photovoltaic technical potential in the United States: a detailed assessment (NREL) P Gagnon, R Margolis, J Melius, C Phillips, R Elmore TP-6A20, 2016 | 10 | 2016 |
| Simulation study of characteristics of statistical estimators of inhibition concentration AJ Bailer, RT Elmore, BJ Shumate, JT Oris Environmental Toxicology and Chemistry: An International Journal 19 (12 …, 2000 | 10 | 2000 |
Caleb PhillipsNational Renewable Energy LaboratoryVerified email at smallwhitecube.com
