$\alpha, \beta$ & $\alpha_L$ & $\alpha_U$ & $ACL_\alpha$ & $\beta_L$& $\beta_U$ & $ACl_\beta$\
10 & 0.75,0.75 & 0.0874 & 0.9266 & 0.8393 & 0.5711 & 1.7485 & 1.1775\
20 & 0.75,0.75 & 0.3209 & 0.9911 & 0.6703 & 0.5525 & 1.2171 & 0.6646\
30 & 0.75,0.75 & 0.4263 & 0.9928 & 0.5665 & 0.5555 & 1.0574 & 0.5019\
50 & 0.75,0.75 & 0.5290 & 0.9794 & 0.4505 & 0.5631 & 0.9275 & 0.3644\
\
\[0\][\*]{}[20]{} & 0.5, 0.75 & 0.3255 & 0.9951 & 0.6696 & 0.4142 & 0.9523 & 0.5381\
& 0.5, 1.5 & 0.3794 & 1.0785 & 0.6991 & 0.4819 & 1.7425 & 1.2429\
& 1.5, 0.5 & 0.4206 & 1.7812 & 0.76058 & 0.2260 & 1.8334 & 1.3807\
& 2.5, 2.5 & 0.5804 & 2.9509 & 0.9788 & 0.54133 & 2.7783 & 1.1365\

\[tab:addlabel\]

Real Data Illustration
======================

This section, demonstrate the practical applicability of the proposed model in real life scenario especially for the survival/relibaility data taken from diffierent sources. The proposed distribution is compared with Maxwell distribution (MaD) and its different generalizations, such as length biased maxwell distribution (LBMaD), area biased maxwell distribution (ABMaD), extended Maxwell distribution (EMaD) and generalized Maxwell distribution (EMaD). For these models 