title: Two-sample nonparametric estimation and confidence intervals under truncation.
abstract: We consider point estimates and confidence intervals for the difference in location or scale between two populations when the observations are subject to truncation. We suggest procedures analogous to those for the complete-sample case. A rigorous justification is presented to support the proposed confidence interval procedure. Finally, some simulations verify the properties of the estimators and confidence intervals. We illustrate the procedure using data on tumor size.
authors.affiliation: Department of Statistics, University of Wisconsin, Madison 53706.
authors.forename: R A
authors.initials: RA
authors.lastname: Johnson
authors.forename: C H
authors.initials: CH
authors.lastname: Morrell
authors.forename: A
authors.initials: A
authors.lastname: Schick
mesh_terms: D000465:Algorithms; D000818:Animals; D001699:Biometry / Q000379:methods*; D016001:Confidence Intervals; D008114:Liver Neoplasms, Experimental / Q000473:pathology; D051379:Mice; D009010:Monte Carlo Method