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Applied Environmental Statistics 2

Regression Models and Trend Analysis

  • Parametric and nonparametric correlation coefficients.
  • The Theil-Sen line, a robust linear model.
  • How to build a good linear regression model.
  • Checking assumptions of linear regression.
  • Multiple Regression -- the problem of multi-collinearity, and what to do about it.
  • How to build a good multiple regression model.
  • Testing whether several regression lines have the same slope and intercept.
  • Trend analysis -- parametric and nonparametric tests for trend.
  • Trend analysis -- incorporating variables in addition to time.
  • Trend analysis -- incorporating seasonal variation.


"I took the in-person version of this AES (1 and 2) course. It was absolutely excellent. I told my manager that it was the best lecture/workshop that I had ever been to! Of any kind, but especially of stats. Dennis took the time to explain the stats very clearly and identified very important things to consider, especially in terms of water chemistry data. I have always had trouble with trends of concentrations or loads over time because of the variability due to flow. Now I know how to deal with this situation, and will be able to separate natural from possible human-caused changes in water quality. I will be applying these techniques in the future, including multiple regression (while removing the effect of flow) and the Regional Kendall test to see if there is an increasing or decreasing trend watershed-wide. This will enable me to write a paper on trends in water quality in the Lake Simcoe river basin in Ontario."

- Eavan OConnor, Lake Simcoe Region Conservation Authority, Ontario

 

Your Instructor


Dennis Helsel
Dennis Helsel

Dennis Helsel (Ph.D. Environmental Science and Engineering):
"I'm a translator of statistical methods for scientists. My firm's name, Practical Stats, says it all. I've written/co-authored two textbooks. Statistics for Censored Environmental Data using Minitab and R (2012) pioneered statistical methods for data below detection limits. Statistical Methods in Water Resources (2nd edition coming this year) is cited by scientists throughout the world. I've taught webinars for the National Water Quality Monitoring Council and others; workshops for the American Statistical Association and others; courses such as AES for scientists in North America, Europe and Singapore since 1990.

I worked for 30 years at the US Geological Survey before starting Practical Stats. In 2003 I received the Distinguished Achievement Award from the American Statistical Association’s Section on Statistics and the Environment for my training courses in applied statistics."


Class Curriculum


  Section 7. Correlation
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  Section 8. Linear Regression
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  Section 9. Multiple Regression
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  Section 10. Testing for differences in regression lines
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  Section 11. Trend Analysis
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Frequently Asked Questions


Are there any prerequisites for this course?
You should be familiar with the material included in AES1: how hypothesis tests work, when and why to transform data, differences between parametric, nonparametric and permutation tests, and bootstrapping methods.
How long do I have access to the course?
Registration cost is for one year of 24/7 access for one person, across any and all devices that you own. You may renew for additional years for as long as you like -- but a deadline does motivate you to complete the material. Contact us if you want a refresher down the road.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.
What if multiple persons want to take this course?
There are discounts for 5 or more persons from the same organization taking the course together (paying at the same time). Until arrangements are set up here, email us at ask@practicalstats.com to set this up.

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