Evaluation of Nonparametric and Parametric Statistical Procedures for Modeling and Prediction of Cluster‐Correlated Hydroclimatic Data
Author:
Affiliation:
1. Department of Civil Engineering Indian Institute of Technology Palakkad India
2. Department of Mathematics and Statistics Auburn University Auburn AL USA
3. Biosystems Engineering Auburn University Auburn AL USA
Funder
National Oceanic and Atmospheric Administration
Alabama Agricultural Experiment Station
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2017WR022254
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1. Robust Signed-Rank Variable Selection in Linear Regression
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