週次 |
日期 |
單元主題 |
第1週 |
09/13 |
1.Statistical Treatment of Hydrologic Data
a.Hypothesis Testing |
第2週 |
09/20 |
1.Statistical Treatment of Hydrologic Data
b.Gaussian Random Variables |
第3週 |
09/27 |
1.Statistical Treatment of Hydrologic Data
c.Transformation of Random Variables |
第4週 |
10/04 |
2.Regression and Principle Component Analysis
a.Linear and Nonlinear Regression |
第5週 |
10/11 |
2.Regression and Principle Component Analysis
b.Choice of Model
c.Principle Component Analysis |
第6週 |
10/18 |
3.Uncertainty and Reliability Analysis
a.Concept of Loading and Capacity |
第7週 |
10/25 |
3.Uncertainty and Reliability Analysis
b.Method of First Order Second Moment |
第8週 |
11/01 |
4.Analysis of Hydrologic Time Series Data
a.Stationarity, b.Stochastic structure of hydrologic time series |
第9週 |
11/08 |
4.Analysis of Hydrologic Time Series Data
c.Analysis of trend, periodic component and autocorrelation |
第10週 |
11/15 |
4.Analysis of Hydrologic Time Series Data
d.Time-series models |
第11週 |
11/22 |
4.Analysis of Hydrologic Time Series Data
e.Data synthesis and filling in missing observation |
第12週 |
11/29 |
5.Areal Random Variables and Geostatistics
a.Analysis of statistical spatial structure |
第13週 |
12/06 |
5.Areal Random Variables and Geostatistics b.Best linear unbiased estimation (BLUE), Ordinary Kriging, c.Universal Kriging |
第14週 |
12/13 |
5.Areal Random Variables and Geostatistics
d.Structural analysis of a spatial variable
e.Goodness test |
第15週 |
12/20 |
5.Areal Random Variables and Geostatistics
f.Examples |
第16週 |
12/27 |
6.Real-Time Forecasting and Kalman Filter
a.Minimum Variance Estimator
b.Bayesian approach and Fisher approach |
第17週 |
01/03 |
6.Real-Time Forecasting and Kalman Filter c.Kalman Filter + 學期考試,範圍到時間序列 |
第18週 |
01/10 |
6.Real-Time Forecasting and Kalman Filter Ensemble Kalman Filter and Applications |