There are several stochastic orderings, such as the uniform stochastic ordering, the likelihood ratio ordering, the ordinary stochastic ordering and the failure rate ordering. The authors study statistical inference for uniform stochastic ordering in several populations. They consider mainly the following two problems: 1) The nonparametric maximum likelihood estimation in the generalized sense for \(k\)-population problems under uniform stochastic ordering restrictions; 2) the likelihood ratio statistic for testing equality of the \(k\) populations against the uniform stochastic ordering restriction. By a reparameterization the authors reduce the first problem to a well-known isotonic regression problem. They also derive the asymptotic distribution of the likelihood ratio statistic as the chi-bar-square type. An example for illustration of the theory is stated in the paper.