L-Moments for Robust Temporal Data Drift Monitoring in Agricultural IoT Systems
- 2 January 2026
- book chapter
- Published by Springer Nature
- p. 353-365
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- A novel approach for flow analysis in software-based networks using L-moments theoryComputer Communications, 2023
- From concept drift to model degradation: An overview on performance-aware drift detectorsKnowledge-Based Systems, 2022
- Will Anthropogenic Warming Increase Evapotranspiration? Examining Irrigation Water Demand Implications of Climate Change in CaliforniaEarth's Future, 2022
- A meta-analysis of projected global food demand and population at risk of hunger for the period 2010–2050Nature Food, 2021
- A novel fourth-order L-moment reliability method for L-correlated variablesApplied Mathematical Modelling, 2021
- Projected temperature increases may require shifts in the growing season of cool-season crops and the growing locations of warm-season cropsScience of The Total Environment, 2020
- Comparison of Point Precipitation Frequency Analyses of Storm-Typed Maxima and Overall Maxima for a Region in Eastern TennesseeJournal of Hydrologic Engineering, 2020
- Regional Frequency Analysis1997
- Lmoment diagrams should replace product moment diagramsWater Resources Research, 1993
- Some statistics useful in regional frequency analysisWater Resources Research, 1993