  The literature has covered the features and uses of the traditional
univariate and bivariate logistic distributions in great detail. It is
reasonable to wonder, though, if logistic marginals and conditionals could
exhibit a similar behavior. A phenomenon that is comparable to both bivariate
exponential and bivariate normal distributions. In this study, we will
concentrate on bivariate distributions where one family of conditionals is
marginal and the other family is of logistic type. Pseudo-logistic
distributions are the name for such distributions. Research on conditionally
specified models has revealed, however, that only in cases where the variables
are independent will logistic marginals and both conditionals be of the
logistic form occur. We talk about the features of distributional aspects and
how they are built using the original. Both the original and the new
conditioning regimes are used in two different ways. Possible generalizations
are also considered. We also provide an example of a Pseudo-logistic model
application.

Applications;Computation