Dekker, I.; Dubrawski, K.L.; Jones, P.; MacDonald, R.
Estimating Non-Stationary Extreme-Value Probability Distribution Shifts and Their Parameters Under Climate Change Using L-Moments and L-Moment Ratio Diagrams: A Case Study of Hydrologic Drought in the Goat River Near Creston, British Columbia. Hydrology 2024, 11, 154.
https://doi.org/10.3390/hydrology11090154
AMA Style
Dekker I, Dubrawski KL, Jones P, MacDonald R.
Estimating Non-Stationary Extreme-Value Probability Distribution Shifts and Their Parameters Under Climate Change Using L-Moments and L-Moment Ratio Diagrams: A Case Study of Hydrologic Drought in the Goat River Near Creston, British Columbia. Hydrology. 2024; 11(9):154.
https://doi.org/10.3390/hydrology11090154
Chicago/Turabian Style
Dekker, Isaac, Kristian L. Dubrawski, Pearce Jones, and Ryan MacDonald.
2024. "Estimating Non-Stationary Extreme-Value Probability Distribution Shifts and Their Parameters Under Climate Change Using L-Moments and L-Moment Ratio Diagrams: A Case Study of Hydrologic Drought in the Goat River Near Creston, British Columbia" Hydrology 11, no. 9: 154.
https://doi.org/10.3390/hydrology11090154
APA Style
Dekker, I., Dubrawski, K. L., Jones, P., & MacDonald, R.
(2024). Estimating Non-Stationary Extreme-Value Probability Distribution Shifts and Their Parameters Under Climate Change Using L-Moments and L-Moment Ratio Diagrams: A Case Study of Hydrologic Drought in the Goat River Near Creston, British Columbia. Hydrology, 11(9), 154.
https://doi.org/10.3390/hydrology11090154