Main Article Content
Abstract
We introduce a new family of continuous distributions and study the mathematical properties of the new family. Some useful characterizations based on the ratio of two truncated moments and hazard function are also presented. We estimate the model parameters by the maximum likelihood method and assess its performance based on biases and mean squared errors in a simulation study framework.
Keywords
Maximum likelihood
Moment
Order Statistic
Quantile function
Hazard function
Characterization
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How to Cite
Hamedani, D. G., Yousof, H. M., Rasekhi, M., Alizadeh, M., & Najibi, S. M. (2018). Type I General Exponential Class of distributions. Pakistan Journal of Statistics and Operation Research, 14(1), 39-55. https://doi.org/10.18187/pjsor.v14i1.2193
