- 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
- 2013年4月4日
- 講義資料更新日
- 2013年7月18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 management. Main topics are probability, hypothesis testing, multivariate analysis, time series analysis, and risk assessment. Students are required to work on exercises to acquire substantial understanding both in theory and application.
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 management. Main topics are probability, hypothesis testing, multivariate analysis, time series analysis, and risk assessment.
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
Reference
Modern Statistics for the Life Science, 2002, A. Grafen and R. Hails, Oxford University Press
Biostatistical Analysis, 1999, J. H. Zar, Prentice Hall
Multivariate Statistics for the Environmental Sciences, 2003, P. J. A. Shaw, Hodder Arnold
Environmental and Ecological Statistics with R, 2010, S. S. Quin, CRC Press
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.
