  Weighted histograms are used for the estimation of probability density
functions. Computer simulation is the main domain of application of this type
of histogram. A review of chi-square goodness of fit tests for weighted
histograms is presented in this paper. Improvements are proposed to these tests
that have size more close to its nominal value. Numerical examples are
presented in this paper for evaluation of tests and to demonstrate various
applications of tests.
