- 担当教員
- 吉村 千洋
- 使用教室
- 月7-8(M112)
- 単位数
- 講義：2 演習：0 実験：0
- 講義コード
- 61074
- シラバス更新日
- 2011年5月2日
- 講義資料更新日
- 2011年7月3日
- アクセス指標
-
- 学期
- 前期
講義概要
This lecture is given to provide common statistical skills to analyze and interpret data sets obtained in environmental science and engineering. Main topics are sampling design, hypothesis testing, multivariate analysis, and time series analysis. Students are required to work on exercises to promote theoretical understanding.
講義の目的
This lecture is given to provide common statistical skills to analyze and interpret data sets obtained in environmental science and engineering. Main topics are sampling design, hypothesis testing, multivariate analysis, and time series analysis.
講義計画
Major contents of this lecture
1. Hypothesis and sampling design
2. Probability distribution
3. Hypothesis test
4. Simple regression analysis
5. Multiple regression analysis
6. Data transformation
7. Analysis of variance (1)
8. Analysis of variance (2)
9. Multivariate exploratory technique (1)
10. Multivariate exploratory technique (2)
11. Multivariate exploratory technique (3)
12. Nonparametric analysis
13. Time series analysis
14. Monte-Carlo method
Students are required to work on exercises to promote theoretical and practical understanding.
教科書・参考書等
Textbook
Environmental and Ecological Statistics with R, 2010, S. S. Quin, CRC Press
Reference
Biostatistical Analysis, 1999, J. H. Zar, Prentice Hall
関連科目・履修の条件等
Aquatic Environmental Statistics
成績評価
Report 80%
Presentation 20%
Students are required to attend more than 9 times out of 14 lectures.
