How do you know
if the pH level in a lake is changing?
How should you design a study to determine whether a site has been
damaged by mining? Learn more about the
application of statistical methods to environmental problems in Dr. Bryan
Manly's online course, "Environmental Statistics," at Statistics.com.
For more details please visit at http://www.statistics.com/enviro/.
"Environmental
Statistics" is designed for the environmental analyst or scientist
with some previous exposure to statistics.
It reviews general statistical procedures (sampling, regression,
analysis of variance, control charts) from an environmental science angle, and
also covers topics that are specific to environmental impact and risk
assessment.
Course Program:
Course outline: The course
is structured as follows
SESSION 1: Background and Sampling
- Examples illustrating the
role of statistics in environmental science.
- Optional review of basic
statistical concepts for those who need it.
- Environmental sampling
strategies and the analysis of the data obtained: random sampling,
stratified sampling, systematic sampling, ratio estimation, double
sampling, choosing sample sizes, the Data Quality Objectives (DQO) process
SESSION 2: Environmental Data Analysis
- Models for data: standard
statistical distributions, the linear regression model, analysis of
variance, generalized linear models for non-normal data
- Statistical inference:
different types of study (observational and experimental),
quasi-experiments, design-based and model-based inference, tests of
significance and confidence intervals, computer-intensive methods,
avoiding pseudoreplication, multiple testing procedures, meta analysis,
Bayesian methods
- Using analysis of variance
with environmental monitoring data
SESSION 3: Monitoring and Impact Assessment
- Using control charts and
CUSUM charts with monitoring data
- Designs and analyses for
impact assessment: BACI designs, impact-control designs, before-after
designs, impact gradient designs, possible inferences. Assessing site
reclamation: problems with usual tests of significance, testing for
bioequivalence
- Introduction to time series
analysis: components of time series, serial correlation, test for
randomness, detection of change points and trend, more complicated time
series models.
SESSION 4: Spatial and Censored Data, and Monte Carlo Risk Assessment
- Spatial data analysis: types
of spatial data, analysis of count data, randomness in where points are
located, the Mantel randomization test for spatial correlation, the
geostatistical methods (variograms and kriging), correlation between
variables in space
- Censored data: estimation of
the population mean and variance from a single sample, estimation of
quantiles, comparing the means of two or more samples, regression
- Principles of Monte Carlo
risk assessment
- Using Resampling Stats for
Excel for risk assessment.
Dr. Bryan Manly
is a consultant with Western EcoSystem Technology, Inc. in Cheyenne, Wyoming.
Before that, he was Chair of Statistics and Director of the Center for
Applications of Statistics and Mathematics at the University of Otago, New
Zealand. Dr. Manly is the author of
"Statistics for Environmental Science and Management,"
"Randomization, Bootstrap and Monte Carlo Methods in Biology,"
"The Statistics of Natural Selection," "Multivariate Statistical
Methods," "Resource Selection by Animals," "The Design and
Analysis of Research Studies," and over 200 articles in refereed journals.
Participants can ask questions and exchange comments with Dr. Manly via a
private discussion board throughout the period.
You will be able to ask questions
and exchange comments with the Dr. Bryan Manly via a private discussion board
throughout the course. The courses take place online at
statistics.com in a series of 4 weekly lessons and assignments, and require
about 15 hours/week. Participate at your own convenience; there are no
set times when you must be online. You have the flexibility to work a bit every
day, if that is your preference, or concentrate your work in just a couple of
days.
For Indian participants
statistics.com accepts registration for its courses at special prices in Indian
Rupees through its partner, the Center for eLearning and Training (C-eLT),
Pune.
Call: 020 66009116
Websites:
No comments:
Post a Comment