|
週次 |
日期 |
單元主題 |
|
第1週 |
9/15 |
1.Statistical Treatment of Hydrologic Data
a.Hypothesis Testing |
|
第2週 |
9/22 |
1.Statistical Treatment of Hydrologic Data
b.Gaussian Random Variables |
|
第3週 |
9/29 |
1.Statistical Treatment of Hydrologic Data
c.Transformation of Random Variables |
|
第4週 |
10/6 |
2.Regression and Principle Component Analysis
a.Linear and Nonlinear Regression |
|
第5週 |
10/13 |
2.Regression and Principle Component Analysis
b.Choice of Model
c.Principle Component Analysis |
|
第6週 |
10/20 |
3.Uncertainty and Reliability Analysis
a.Concept of Loading and Capacity |
|
第7週 |
10/27 |
3.Uncertainty and Reliability Analysis
b.Method of First Order Second Moment |
|
第8週 |
11/3 |
4.Areal Random Variables and Geostatistics
a.Stationary
b.Analysis of statistical spatial structure |
|
第9週 |
11/10 |
4.Areal Random Variables and Geostatistics c.Best linear unbiased estimation (BLUE) d.Universal Kriging |
|
第10週 |
11/17 |
4.Areal Random Variables and Geostatistics
e.Structural analysis of a spatial variable
f.Goodness test |
|
第11週 |
11/24 |
4.Areal Random Variables and Geostatistics
g.Examples |
|
第12週 |
12/1 |
5.Analysis of Hydrologic Time Series Data
a.Stochastic structure of hydrologic time series |
|
第13週 |
12/8 |
5.Analysis of Hydrologic Time Series Data
b.Analysis of trend, periodic component and autocorrelation |
|
第14週 |
12/15 |
5.Analysis of Hydrologic Time Series Data
c.Time-series models |
|
第15週 |
12/22 |
5.Analysis of Hydrologic Time Series Data
d.Data synthesis and filling in missing observation |
|
第16週 |
12/29 |
6.Real-Time Forecasting and Kalman Filter
a.Minimum Variance Estimator
b.Bayesian approach and Fisher approach |
|
第17週 |
1/5 |
6.Real-Time Forecasting and Kalman Filter c.Kalman Filter + 學期考試，範圍到時間序列 |
|
第18週 |
1/12 |
6.Real-Time Forecasting and Kalman Filter Ensemble Kalman Filter and Applications |