Construction of Beta-Content Tolerance Regions at Confidence Level-gamma for Large Samples from the K-Variate Normal Distribution

摘要

A method for construction of beta-content tolerance regions at confidence level gamma is developed, when sampling from the k-variate normal, and tables supplied. Certain efficiency considerations are discussed with respect to beta-content 'non-parametric' regions and beta-content 'normal' regions, and here also tables are supplied. The method assumes that sample sizes are large. (Author)