Besides Physics and Chemistry it has good number of applications in reliability theory also. At first, the Maxwell distribution was used as lifetime distribution by Tyagi and Bhattacharya (1989). The inferences based on generalized Maxwell distribution has been discussed by Chaturvedi and Rani (1998). Bekker and Roux (2005) consider the estimation of reliability characteristics under for Maxwell distribution under Bayes paradigm. Radha and Vekatesan (2005) discuss the prior selection procedure in case of Maxwell probability distribution. Shakil et al. (2008) studied the distributions of the product $|XY|$ and ratio $|X/Y|$ when X and Y are independent random variables having the Maxwell and Rayleigh distributions. Day and Maiti (2010) proposed the Bayesian estimation of the parameter for the Maxwell distribution. Tomer and Panwar (2015) discussed the estimation procedure for the parameter of Maxwell distribution in the presence of progressive type-I hybrid censored data. After this, Modi (2015), Saghir and Khadim (2016), proposed lengths biased Maxwell distribution and discussed its various properties. Furthermore, several generalizations based on Maxwell distribution are advocated and statistically justified. Recently, two more extensions of Maxwell distribution has been introduced by Sharma et al. (2017a), (2017b) and discussed the classical as well as Bayesian estimation of the parameter 