Robust Predictive Design of Field Measurements for Evapotranspiration Barriers Using Universal Multiple linear Regression-Reference-Cited by-同舟云学术

Robust Predictive Design of Field Measurements for Evapotranspiration Barriers Using Universal Multiple linear Regression

Published:2019-11 Issue:11 Volume:55 Page:8478-8491
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Clutter Melissa¹^ORCID,Ferré Ty P. A.²^ORCID,Zhang Zhuanfang Fred³^ORCID,Gupta Hoshin²

Affiliation:

1. Department of Geosciences Fort Lewis College Durango CO USA

2. Department of Hydrology and Atmospheric Sciences University of Arizona Tucson AZ USA

3. Pacific Northwest National Laboratory Richland WA USA

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR026194

Reference38 articles.

1. Use of principal component scores in multiple linear regression models for prediction of Chlorophyll-a in reservoirs

2. Fuzzy goal programming with different importance and priorities

3. Designing Robust, Cost-Effective Field Measurement Sets using Universal Multiple Linear Regression

4. Multiobjective optimization of trusses using genetic algorithms

5. DOE‐RL(2016).Prototype Hanford Barrier 1994 to 2015 DOE/RL‐2016‐37 Rev. 0 U.S. Department of Energy Richland Operations Office. Richland Washington. Available athttps://www.hanford.gov/c.cfm/sgrp/DOE‐RL‐2016‐37/DOE‐RL‐2016‐37_R0.pdfandhttps://www.hanford.gov/c.cfm/sgrp/DOE‐RL‐2016‐37/Appendices.pdf(Accessed on March 19 2019).

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using Baseflow Ensembles for Hydrologic Hysteresis Characterization in Humid Basins of Southeastern China;Water Resources Research;2024-04

2. Optimizing Soil Moisture Sensor Depth for Irrigation Management Using Universal Multiple Linear Regression;Journal of the ASABE;2022