Exact statistics

Exact statistics, such as that described in exact test, is a branch of statistics that was developed to provide more accurate results pertaining to statistical testing and interval estimation by eliminating procedures based on asymptotic and approximate statistical methods. The main characteristic of exact methods is that statistical tests and confidence intervals are based on exact probability statements that are valid for any sample size.

When the sample size is small, asymptotic results given by some traditional methods may not be valid. In such situations, the asymptotic p-values may differ substantially from the exact p-values. Hence asymptotic and other approximate results may lead to unreliable and misleading conclusions.

Exact statistical methods help avoid some of the unreasonable assumptions of traditional statistical methods, such as the assumption of equal variances in classical ANOVA. They also allow exact inference on variance components of Mixed Models.

When exact p-values and confidence intervals are computed under a certain distribution, such as the normal distribution, then the underlying methods are referred to as Exact Parametric Methods. The exact methods that do not make any distributional assumptions are referred to as Exact Nonparametric Methods. The latter has the advantage of making lesser assumptions whereas, the former tend to yield more powerful tests when the distributional assumption is reasonable. For advanced methods such as higher-way ANOVA, Regression, and Mixed Models, only exact parametric methods are available.

References

* Fisher, R. A. 1954 "Statistical Methods for research workers". Oliver and Boyd. Mehta, C. R. 1995. SPSS 6.1 Exact test for Windows. Englewood Cliffs, NJ: Prentice Hall.

* Mehta, C. R.& Patel, N. R. 1997. "Exact inference in categorical data". "Biometrics", 53(1), 112–117.

* Weerahandi, S. 1995. " [http://www.springer.com/statistics/statistical+theory+and+methods/book/978-0-387-40621-3 Exact Statistical Method for Data Analysis] ". Springer-Verlag, New York.

* Weerahandi, S. 2004. " [http://www.wiley-vch.de/publish/en/books/bySubjectST00/bySubSubjectST12/0-471-47017-1/?sID=d05b Generalized Inference in Repeated Measures: Exact Methods in MANOVA and Mixed Models] ". Wiley, New York.