Chi-Square Goodness-of-Fit Tests for Randomly Censored Data
Chi-Square Goodness-of-Fit Tests for Randomly Censored Data
We consider general chi-square goodness-of-fit test statistics for randomly censored data--call these generalized Pearson statistics--which are nonnegative definite quadratic forms in the cell frequencies obtained from the product-limit estimator, allowing random cells and general estimators of nuisance parameters. This class of statistics generalizes the class studied by Moore and Spruill …