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June 27, 2024Journal of Mathematics Research0 citationsOpen Access

A New Generalization of the Exponentiated Inverted Weibull Distribution With Applications to Tax Revenue and Reliability Data

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OIOseghale Osezuwa InnocentAFAyoola J. FemiONOluwole Adegoke Nuga

Key Points

  • The Alpha Power Exponentiated Inverted Weibull distribution significantly enhances modeling versatility for various data shapes.
  • Using maximum likelihood estimation, the new model performs better on two real-life data sets compared to alternative models.
  • This newly derived distribution accommodates complex hazard rate functions such as upside-down bathtubs and reversed-J shapes effectively for statistical analysis!  There's potential to refine various applications in different fields, showing strong model flexibility among distributions.

Abstract

The addition of an extra parameter to standard distributions is a common technique in statistical theory. This study introduces a new generalization of the Exponentiated Inverted Weibull distribution named alpha power exponentiated Inverted Weibull distribution (APEIW). The APEIW allows for a significant amount of versatility in modeling various data forms as it accommodates upside-down bathtubs, decreasing, and reversed-J shapes for hazard rate function. Some of the APEIWs mathematical properties are derived in close forms. The maximum likelihood estimation technique was used for the purpose of estimation. Two real life data sets were used to show the applicability of the Alpha Power Exponentiated Inverted Weibull model over all other models considered in this study.

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Cite This Study

Innocent et al. (2024) studied this question.

synapsesocial.com/papers/68e63126b6db6435875c3779https://doi.org/10.5539/jmr.v16n3p59
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