CONSTRUCTION OF BETA-CONTENT TOLERANCE REGIONS AT CONFIDENCE LEVEL-GAMMA FOR LARGE SAMPLES FROM THE K-VARIATE NORMAL DISTRIBUTION.
Technical summary rept.,
WISCONSIN UNIV MADISON MATHEMATICS RESEARCH CENTER
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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
- Statistics and Probability