Statistical methods for establishing equivalency of several sampling devices.
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.
Krishnamoorthy
K
K
Department of Mathematics, University of Louisiana at Lafayette, Lafayette, Louisiana 70504, USA. krishna@louisiana.edu
Mathew
Thomas
T
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