 |
RSS Centre for Statistical Education
|
| |
RSS Centre for Statistical Education
|
General Sources
The following sites give references to a large number of other sites:
Statistical Training on the Web
Some Statistics Resources on the Web
CTI Centre for Statistical Education
J.
Puranen's list of resources
Specific Sites and Courses and Demonstrations
The most extensive course available on the Internet seems to be that provided by Jan de Leeuw at UCLA. Material here includes an electronic text book, a statistics toolbox and case studies and demonstrations.
Another on line text book is from Statsoft. There are sections here on design of experiments, process analysis, quality control charts, data mining techniques and cluster analysis.
There is a virtual library on statistics at the university of Florida.
BioMathematics and Statistics Scotland (BIOSS) has some modules under the acronym SMART. They include growth curve modelling, sequential acceptance sampling and partial least squares regression.
Automatic Forecasting Systems Inc (Autobox) has an interesting Web site on Time Series, including an illustrated course.
STATLIB at Carnegie Mellon University is a wide ranging resource. In particular there is a section on data exposition, using data sets discussed at various ASA meetings, some sets of real data and the Data and Story Library (DASL).
There is some interesting material as part of the Statistical Instruction Internet Palette.
Neville Davies at Nottingham Trent University has an interesting undergraduate course on Communicating Statistics.
Rossini has a full introductory biomedical course in statistics and Max Janeiro has one in preventative medicine.
Bill Hunter has an interesting paper on teaching design of experiments.
There is a project concerned with teaching Design of Experiments at an introductory level.
A more substantial course at undergraduate level is Hyperstat
Some interesting interactive demonstrations for active learning can be found via Duke University.
Activ Stats is a commercial package produced by Paul Velleman which uses real data and video clips of real applications of statistics. He is also the author of the Data Desk software.
Sources of data are numerous. One list is given at Dr B's worldwide web of data. Another can be found at the University of Nevada in Reno and more at the Chance data base. See also the reference to Carnegie Mellon University above.
You can find a statistical glossary as part of the STEPS project in Glasgow.
