Lethargic 发表于 2025-3-25 05:41:26
A Nonlinear, Nonstationary Stochastic Model for the Prediction of Storage in the Edwards Aquifer, Te 20 to 40 cubic km (Kelly, 1985). At least nine cities and towns with a combined population in excess of one million, among them the city of San Antonio, rely exclusively on the aquifer for their water supply. Springflow from the aquifer feeds a number of important streams that supply water to downs车床 发表于 2025-3-25 07:49:04
http://reply.papertrans.cn/88/8780/877970/877970_22.pngplasma-cells 发表于 2025-3-25 15:02:20
Parameter Estimation in Real-Time Flood Forecasting Via Conceptual Modelsy of the assumptions of the commonly-used ordinary least squares (OLS) estimation criterion is examined. The application in an on-line framework of maximum likelihood estimators for autocorrelated (AMLE) and heteroscedastic (HMLE) errors is also presented. Despite the presence of both a strong autocinsular 发表于 2025-3-25 18:43:47
http://reply.papertrans.cn/88/8780/877970/877970_24.pngETHER 发表于 2025-3-25 20:33:06
http://reply.papertrans.cn/88/8780/877970/877970_25.pngSimulate 发表于 2025-3-26 01:20:47
http://reply.papertrans.cn/88/8780/877970/877970_26.png生存环境 发表于 2025-3-26 07:31:56
http://reply.papertrans.cn/88/8780/877970/877970_27.pngAMPLE 发表于 2025-3-26 12:20:32
Parameter Estimation in Real-Time Flood Forecasting Via Conceptual Modelsximum likelihood estimators for autocorrelated (AMLE) and heteroscedastic (HMLE) errors is also presented. Despite the presence of both a strong autocorrelation and a considerable heteroscedasticity in model residuals, the OLS estimator is found to be the most effective and suitable for real-time operation.Mets552 发表于 2025-3-26 13:15:50
http://reply.papertrans.cn/88/8780/877970/877970_29.pngPillory 发表于 2025-3-26 17:42:11
http://reply.papertrans.cn/88/8780/877970/877970_30.png