Optimal Data Analysis: A General Statistical Analysis Paradigm
Paul R. Yarnold, Ph.D., and Robert C. Soltysik, M.S.
Optimal Data Analysis, LLC
Optimal discriminant analysis (ODA) is a new paradigm in the general statistical analysis of data, which explicitly maximizes the accuracy achieved by a model for every statistical analysis, in the context of exact distribution theory. This paper reviews optimal
analogues of traditional statistical methods, as well as new special-purpose models for which no conventional alternatives exist.