Except in simple cases, classical statistical methods are approximate or asymptotic methods, whereas Exact Methods are based on exact probability statements and exact expected values. A number of widely used Exact Parametric Methods can be performed using freely distributed XPro software. Non standard methods could be carried out by writing code using, say R. In particular, you can

Use the gp-test option in one-way Tests package at One-Way ANOVA to perform One-Way ANOVA

Use R codes here to perform Two-Way ANOVA, which wiil be soon available as an R library Package

Mixed Model Regressions and RANCOVA will soone be available here.

Download XPro Absolutely Free (Pending): Older versions of Windows Newer versions of Windows Why Waste Hard Earned Data on Approximate Methods? Perform exact parametric methods to: detect significant experimental results early (if truly significant) Rapid detection of a deviation of Network traffic due to an intrusion minimize cost and duration of experiments avoid misleading conclusions avoid costly investments due to false positive results XPro procedures are specifically designed to provide practitioners with powerful tests while avoiding misleading conclusions.

Statistical techniques for exact parametric inference in numerous linear models are documented in books: Exact Statistical Methods for Data Analysis from Springer Series in Statistics Read Free Generalized Inference in Repeated Measures: Exact Methods in MANOVA and Mixed Models from Wiley Series in Probabilty & Statistics

About Generalized Inference and Exact Methods

Generalized P-Values

Generalized Estimation

Generalized Intervals

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