| Revisiting simple linear regression with autocorrelated errors J Lee, R Lund Biometrika 91 (1), 240-245, 2004 | 77 | 2004 |
| Trends in extreme US temperatures J Lee, S Li, R Lund Journal of Climate 27 (11), 4209-4225, 2014 | 37 | 2014 |
| Prescribed fire effects on resource selection by cattle in mesic sagebrush steppe. Part 1: Spring grazing PE Clark, J Lee, K Ko, RM Nielson, DE Johnson, DC Ganskopp, ... Journal of Arid Environments 100, 78-88, 2014 | 35 | 2014 |
| Evaluation of NASA’s MERRA precipitation product in reproducing the observed trend and distribution of extreme precipitation events in the United States H Ashouri, S Sorooshian, KL Hsu, MG Bosilovich, J Lee, MF Wehner, ... Journal of Hydrometeorology 17 (2), 693-711, 2016 | 28 | 2016 |
| Prescribed fire effects on resource selection by cattle in mesic sagebrush steppe. Part 2: Mid-summer grazing PE Clark, J Lee, K Ko, RM Nielson, DE Johnson, DC Ganskopp, ... Journal of Arid Environments 124, 398-412, 2016 | 22 | 2016 |
| Prescribed fire effects on activity and movement of cattle in mesic sagebrush steppe PE Clark, RM Nielson, J Lee, K Ko, DE Johnson, DC Ganskopp, ... Rangeland Ecology & Management 70 (4), 437-447, 2017 | 15 | 2017 |
| Lag time between state-level policy interventions and change points in COVID-19 outcomes in the United States T Dey, J Lee, S Chakraborty, J Chandra, A Bhaskar, K Zhang, A Bhaskar, ... Patterns 2 (8), 2021 | 9 | 2021 |
| Trend assessment for daily snow depths with changepoint considerations J Lee, R Lund, J Woody, Y Xu Environmetrics 31 (1), e2580, 2020 | 9 | 2020 |
| Confidence intervals for long memory regressions K Ko, J Lee, R Lund Statistics & probability letters 78 (13), 1894-1902, 2008 | 7 | 2008 |
| Equivalent sample sizes in time series regressions J Lee, R Lund Journal of Statistical Computation and Simulation 78 (4), 285-297, 2008 | 7 | 2008 |
| A reformulation of weighted least squares estimators J Lee The American Statistician 63 (1), 49-55, 2009 | 6 | 2009 |
| A refined efficiency rate for ordinary least squares and generalized least squares estimators for a linear trend with autoregressive errors J Lee, R Lund Journal of Time Series Analysis 33 (2), 312-324, 2012 | 5 | 2012 |
| First‐order bias correction for fractionally integrated time series J Lee, K Ko Canadian Journal of Statistics 37 (3), 476-493, 2009 | 4 | 2009 |
| Evaluation of FluSight influenza forecasting in the 2021-22 and 2022-23 seasons with a new target laboratory-confirmed influenza hospitalizations SM Mathis, AE Webber, A Basu, JM Drake, LA White, EL Murray, M Sun, ... medRxiv, 2023.12. 08.23299726, 2023 | 3 | 2023 |
| One‐way analysis of variance with long memory errors and its application to stock return data J Lee, K Ko Applied Stochastic Models in Business and Industry 23 (6), 493-502, 2007 | 3 | 2007 |
| Long-term trend analysis of extreme coastal sea levels with changepoint detection M Lee, J Lee Journal of the Royal Statistical Society Series C: Applied Statistics 70 (2 …, 2021 | 2 | 2021 |
| Trend and return level of extreme snow events in New York City M Lee, J Lee The American Statistician 74 (3), 282-293, 2020 | 2 | 2020 |
| A new test for short memory in long memory time series TAC Hughes, J Lee The American Statistician 69 (3), 182-190, 2015 | 1 | 2015 |
| An efficient generalized least squares algorithm for periodic trended regression with autoregressive errors J Lee, A Dini, W Negri Numerical Algorithms 71, 59-75, 2016 | | 2016 |
| Linear trends, periodicities, and extremes J Lee University of Georgia, 2003 | | 2003 |
Robert LundStatistics, University of California - Santa CruzVerified email at ucsc.edu
