Statistical training and consulting for the environmental sciences and natural resources. From Singapore to South Dakota, our courses have enabled scientists to build better regression models, test for trends, see multivariate patterns, and correctly interpret nondetect (censored) data.
Our Mission
To train scientists in air, water, soil, and biological sciences to "make sense of your data".
NEW! Now available
The second edition of our book on statistics for censored (nondetect) data.
Order from your favorite bookseller.

Our Courses
(see the links to the right)
Applied Environmental Statistics
Our flagship course.
Parametric and nonparametric analysis of pollution monitoring and air or water quality data. Based on the textbook by Helsel and Hirsch (2002).
Nondetects And Data Analysis (NADA)
Correctly handle data below detection limits.
Hypothesis tests, intervals, correlation, regression, and trends for low-level contaminants. Based on the textbook by Helsel (2005).
Untangling Multivariate Relationships
Turn confusion into recognizable patterns.
Multivariate methods for ecology, hydrology, geology, and other 'ologies.
Time Series & Forecasting
Methods for frequently collected ("real-time") data, such as data collected at 1, 5, 15 minute intervals. These data often violate the independence assumption of standard statistical procedures, so that p-values for regression, hypothesis tests, etc. are incorrect.
What's new?
= Practical Stats
The equals sign is followed by the answer. We enable you to solve for yours.
We've provided statistical training for the environmental sciences and natural resources since 1990 in the United States, Europe, Asia and the Middle East. We hold Ph.D.'s in statistics and environmental science, but clearly communicate information to the working scientist. We make statistics current, accurate, and practical.
In addition to our public courses announced here, we hold onsite courses directly for agencies and companies. To inquire about holding a course (typically 20 or more students) at your location, email us.