# Environmental Statistics

(
yoshimura chihoro
)

Mon 7-8Session M112

Credits Lecture:2 Practice:0 Experiment:0 / code:61074

Update : 2011/7/3

Access Index :

Spring Semester

- Outline of lecture
- 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.
- Purpose of lecture
- 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.
- Plan of lecture
- 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. - Textbook and reference
- Textbook

Environmental and Ecological Statistics with R, 2010, S. S. Quin, CRC Press

Reference

Biostatistical Analysis, 1999, J. H. Zar, Prentice Hall - Related and/or prerequisite courses
- Aquatic Environmental Statistics
- Evaluation
- Report 80%

Presentation 20%

Students are required to attend more than 9 times out of 14 lectures.