|
週次 |
日期 |
單元主題 |
|
第1週 |
2010/09/16 |
1.Statistical Treatment of Hydrologic Data
a.Hypothesis Testing |
|
第2週 |
2010/09/23 |
1.Statistical Treatment of Hydrologic Data
b.Gaussian Random Variables
c.Transformation of Random Variables |
|
第3週 |
2010/09/30 |
2.Regression and Principle Component Analysis
a.Linear and Nonlinear Regression |
|
第4週 |
2010/10/07 |
2.Regression and Principle Component Analysis
b.Choice of Model
c.Principle Component Analysis |
|
第5週 |
2010/10/14 |
3.Uncertainty and Reliability Analysis
a.Concept of Loading and Capacity |
|
第6週 |
2010/10/21 |
3.Uncertainty and Reliability Analysis
b.Method of First Order Second Moment |
|
第7週 |
2010/10/28 |
4.Areal Random Variables and Geostatistics
a.Stationary
b.Analysis of statistical spatial structure |
|
第8週 |
2010/11/04 |
4.Areal Random Variables and Geostatistics
c.Best linear unbiased estimation (BLUE)
d.Universal Kriging |
|
第9週 |
2010/11/11 |
4.Areal Random Variables and Geostatistics
e.Structural analysis of a spatial variable
f.Goodness test |
|
第10週 |
2010/11/18 |
4.Areal Random Variables and Geostatistics
g.Examples |
|
第11週 |
2010/11/25 |
5.Analysis of Hydrologic Time Series Data
a.Stochastic structure of hydrologic time series |
|
第12週 |
2010/12/02 |
5.Analysis of Hydrologic Time Series Data
b.Analysis of trend, periodic component and autocorrelation |
|
第13週 |
2010/12/09 |
5.Analysis of Hydrologic Time Series Data
c.Time-series models |
|
第14週 |
2010/12/16 |
5.Analysis of Hydrologic Time Series Data
d.Data synthesis and filling in missing observation |
|
第15週 |
2010/12/23 |
學期考試 |
|
第16週 |
2010/12/30 |
6.Real-Time Forecasting and Kalman Filter
a.Minimum Variance Estimator
b.Bayesian approach and Fisher approach |
|
第17週 |
2011/01/06 |
6.Real-Time Forecasting and Kalman Filter
c.Kalman Filter |
|
第18週 |
2010/01/13 |
6.Ensemble Kalman Filter and Applications |