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Environmental Statistics
( yoshimura chihoro  )


Mon 7-8Session M112

Credits  Lecture:2  Practice:0  Experiment:0 / code:61074
Update : 2011/7/3
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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.

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