title: Statistical methods for establishing equivalency of several sampling devices.
abstract: The problem of comparing several alternate sampling devices to the Occupational Safety and Health Administration (OSHA) standard, or the comparison of several sampling devices among themselves, is considered. A test based on the OSHA criterion that states that "90% of the readings of the sampling device should be within +/- 25% of the readings obtained by the standard" is developed. Type I error rates and powers of the test are studied using Monte Carlo simulation. The study indicates that the proposed test is quite satisfactory for applications. The method is illustrated using a simulated data set.
authors.affiliation: Department of Mathematics, University of Louisiana at Lafayette, Lafayette, Louisiana 70504, USA. krishna@louisiana.edu
authors.forename: K
authors.initials: K
authors.lastname: Krishnamoorthy
authors.forename: Thomas
authors.initials: T
authors.lastname: Mathew
mesh_terms: D003627:Data Interpretation, Statistical; D004784:Environmental Monitoring / Q000295:instrumentation* / Q000379:methods / Q000706:statistics & numerical data*; D016273:Occupational Exposure / Q000032:analysis / Q000592:standards; D014481:United States; D014489:United States Occupational Safety and Health Administration / Q000592:standards