The Monte Carlo method provides approximate solutions to a variety of mathematical problems by performing statistical sampling experiments on a computer.
Glossary of terms organized according to learning order for those unfamiliar with the subject, and also an alphabetical list for already familiar with statistical procedure.
The media's use of statistics in a culture where public policy is often based on "scientific" findings is more than a topic for journalism-school debates. Links to in-depth articles from a variety of perspectives.
On-line demonstration which runs an SAS program that calculates power or sample size needed to attain a given power for one effect in a factorial ANOVA design.
Information and links on WWW servers in Statistics, mailing lists and newsgroups, statistical associations and departments, statistical software, miscellaneous, statistical quotes, and a directory of professional statisticians worldwide.
Academic research and resources for industry analysts and businesses interested in applying the latest statistical and analytical tools and technology.
Principles of mixed model analysis. Includes discussion of REML estimation of variances, BLUEs and BLUPs, fixed and random effects, and inference space; with small examples.
Contains problems and solutions on general topics of probability distributions, confidence intervals, hypothesis testing, analysis of variance, and correlation analysis. Detailed survey sampling projects are also included.
Resources for researchers who want to analyze data on agreement among raters or diagnostic methods. Includes raw agreement indices, kappa coefficient, weighted kappa, latent class and latent trait models, and tetrachoric and polychoric correlations.
