Statistical tests are very important for researchers to make decisions. In particular, when the tests are non-parametric, they are of greater importance because they can be applied to a wide range of data sets regardless of knowing the distribution of these data. Researchers are therefore racing to obtain efficient tests for making good decisions based on the results of these tests. In this study, NBU (2)L was used based on the goodness of fit approach to present an efficient statistical test. The efficiency of the proposed test was computed, and the results were compared to those of other tests. Critical values were computed and tabulated, and the power of this test was estimated. Finally, this test was applicable to both real, complete data and censored data.
Qaid, S. A.; Abo Youssef, S. E. Prof.; and Mansour, Mahmoud, "Formulating an Efficient Statistical Test Using the Goodness of Fit Approach with Applications to Real-life Data" (2024). Basic Science Engineering. 129.