New distribution models outperform competitors in fitting various types of data.
A new family of distributions called the odd exponential logarithmic family has been introduced in this paper. By combining the exponential-logarithmic distribution with the odd transformation, researchers have created versatile distributions with unique properties. They have developed mathematical formulas for these distributions, including ways to estimate model parameters efficiently. The models have been tested with real-world data sets and have shown better performance compared to other existing models.