Triostatistics: The Application of Innovative In-Depth Advanced Post Hoc Statistical Metrics for the Assessment and Analysis of Statistically Significant TriSquared Test

NCCU Author/Contributor (non-NCCU co-authors, if there are any, appear on document)
James Osler, Professor (Creator)
North Carolina Central University (NCCU )
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Abstract: This monograph provides an epistemological rational for the design of an advanced and novel parametric statistical analysis metrics. Triostatistics (or more simply “Triostat”) is the application of Post Hoc measures to the statistically significant outcomes of the Trichotomous Squared Test. Triostatistics involves a variety of robust and rigorouscalculations and computations to provide further insight on the inner workings of statistically significant Tri-Squared Test results. Each of the Triostatistics Tests are introduced and defined in a summative form. The Tri-Squared Testwas first introduced in the Journal on Mathematics as an innovative and in-depth statistical qualitative and quantitativedata analysis procedure.

Additional Information

Kentucky Journal of Excellence in College Teaching and Learning (Volume 12, November 2014)
Language: English
Date: 2014
MULTICOVA, outcomes, post hoc, tri-center analysis, tri-cubed tri-coordinate meta-analysis test, trimetric tri-squared test, TRICOM, TRICOVA, TRIMOD, TRINOVA, trichotomous, tri-squared mean cross comparative analysis, tri-symmetrical omnibus tests, trivariant analysis

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