Perfect Hemisphere Trend Realization: A Combinatorial Modification of Probability Distributions

The paper reviews creative ways to develop continuous probability models playing around the integration method and the concept of normalization. It further projects a probability distribution realized by combining two symmetric probability models that differ in shape, to produce a perfect hemisphere or half-sun trend. Normal and arcsine distributions are the root distributions used for this development. At some values of the parameter, the distribution can be right skewed; where other moments-related measures and estimation are studied as their properties, alongside simulation.

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Publication Details

Journal
African Journal of Mathematics and Statistics Studies
Published
2024-11-11
DOI
https://doi.org/10.52589/ajmss-k6frzigc
Primary Topic
Financial Risk and Volatility Modeling
Type
article
Field-Weighted Citation Impact
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article

Perfect Hemisphere Trend Realization: A Combinatorial Modification of Probability Distributions

Emwinloghosa Kenneth Guobadia, M. N. Ugo, K. J. Iwuchukwu
African Journal of Mathematics and Statistics Studies
Financial Risk and Volatility Modeling
article

Perfect Hemisphere Trend Realization: A Combinatorial Modification of Probability Distributions

Emwinloghosa Kenneth Guobadia, M. N. Ugo, K. J. Iwuchukwu
article en

Abstract

The paper reviews creative ways to develop continuous probability models playing around the integration method and the concept of normalization. It further projects a probability distribution realized by combining two symmetric probability models that differ in shape, to produce a perfect hemisphere or half-sun trend. Normal and arcsine distributions are the root distributions used for this development. At some values of the parameter, the distribution can be right skewed; where other moments-related measures and estimation are studied as their properties, alongside simulation.

African Journal of Mathematics and Statistics StudiesVol. 7(4)
Openalex Percentile: Top 73%
Financial Risk and Volatility Modeling
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