Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the Northeastern United States (2019)
Dates
Publication Date
2021-09-03
Start Date
1884-01-01
End Date
2018-10-31
Citation
Austin, S.H., 2021, Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the Northeastern United States (2019): U.S. Geological Survey data release, https://doi.org/10.5066/P9E3SK56.
Summary
Tables are presented listing parameters used in logistic regression equations describing drought streamflow probabilities in the Northeastern United States. Streamflow daily data, streamflow monthly mean data, maximum likelihood logistic regression (MLLR) equation explanatory parameters, equation goodness of fit parameters, and Receiver Operating Characteristic (ROC) AUC values identifying the utility of each relation, describe each model of the probability (chance) of a particular streamflow daily value exceeding or not exceeding an identified drought streamflow threshold.
Summary
Tables are presented listing parameters used in logistic regression equations describing drought streamflow probabilities in the Northeastern United States. Streamflow daily data, streamflow monthly mean data, maximum likelihood logistic regression (MLLR) equation explanatory parameters, equation goodness of fit parameters, and Receiver Operating Characteristic (ROC) AUC values identifying the utility of each relation, describe each model of the probability (chance) of a particular streamflow daily value exceeding or not exceeding an identified drought streamflow threshold.
Austin-Metadata_for_Northeast_MLLR_Study_Data.xml “Austin-Metadata_for_Northeast_MLLR_Study” Original FGDC Metadata
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Related External Resources
Type: Related Primary Publication
Austin, S.H., 2021, Forecasting drought probabilities for streams in the northeastern United States: U.S. Geological Survey Scientific Investigations Report 20215084, 11 p., https://doi.org/10.3133/sir20215084.
The data were obtained and developed to identify and describe terms used in maximum likelihood logistic regression (MLLR) models estimating streamflow drought probabilities at selected USGS gaged basins in the northeastern United States.
