Probabilities of Misclassification Linked with Inverse Hyperbolic Sine Normal (IHSN) Distribution

Awogbemi Clement Adeyeye; Olowu Abiodun Rafiu

doi:10.52589/AJSTE-BL0DW0R7

Probabilities of Misclassification Linked with Inverse Hyperbolic Sine Normal (IHSN) Distribution | AB Journals

Probabilities of Misclassification Linked with Inverse Hyperbolic Sine Normal (IHSN) Distribution

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Advanced Journal of Science, Technology and Engineering

Vol. 1Issue 12021pp. 42–51Published 30 December 2021

DOI 10.52589/AJSTE-BL0DW0R7

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Abstract:

Probability of misclassification occurs when there is a choice of criteria that is not favourable for classification. The probabilities of misclassification associated with a family of Johnson’s system, the Inverse Hyperbolic Sine Normal distribution, was developed in this study. The distribution theory and rules, along with the formulation of the system, were generated. It was asserted that the estimation of the parameters of the system could be demystified if one or more variables under consideration are distributed normally.

Keywords:Probability of Misclassification Inverse Hyperbolic Sine Normal Johnson’s System Transformation Normality.

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