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June 15, 2026Science Journal of Applied Mathematics and StatisticsOpen Access

Comparative Distributional Analysis of Nigeria's GDP Using the Generalized Inverted Exponential Distribution

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This study aims to model Nigeria’s GDP distribution using the Generalized Inverted Exponential Distribution, addressing skewness and non-normality in macroeconomic data.
Estimated model parameters using Maximum Likelihood Estimation (MLE).
Evaluated model adequacy through various statistical criteria including AIC, BIC, and K–S statistics.
Employed a linear time-trend regression model to assess the temporal evolution of GDP.
The GIED shows superior fit to Nigeria's GDP data compared to conventional models, indicated by lower AIC and BIC values.
A positive and statistically significant time coefficient in the linear regression confirms an upward GDP trend.
Bootstrap resampling validates the stability of the GDP estimates across different modeling approaches.

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Implication

This comparative analysis models Nigeria’s GDP with the Generalized Inverted Exponential Distribution, suggesting a beneficial approach for non-normal data.

Cite This Study

Nwankwo et al. (2026) studied this question.

synapsesocial.com/papers/6a2f97c8a1cfeec490828c87 https://doi.org/10.11648/j.sjams.20261402.12

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Implication

This comparative analysis models Nigeria’s GDP with the Generalized Inverted Exponential Distribution, suggesting a beneficial approach for non-normal data.

Comparative Distributional Analysis of Nigeria's GDP Using the Generalized Inverted Exponential Distribution

Key Points

Discussion

Implication

Cite This Study

Comparative Distributional Analysis of Nigeria's GDP Using the Generalized Inverted Exponential Distribution

Key Points

Discussion

Implication

Cite This Study

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