Using the bootstrap in a multivariadte data problem: An example
The use of the bootstrap in the multivariate version of the paired t-test is considered and demonstrated through an example. The problem of interest involves comparing two different techniques for measuring the chemical constituents of an sample item. The bootstrap is used to form an empirical significance level for Hotelling`s one-sample T-squared statistic. The bootstrap was selected to determine empirical significance levels because the implicit assumption of multivariate normality in the classic Hotelling`s one-sample test night not hold. The results of both the classic and bootstrap test are presented and contrasted.
- Research Organization:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 115638
- Report Number(s):
- UCRL-JC-121819; CONF-9508165-3; ON: DE96001320; TRN: 95:023278
- Resource Relation:
- Conference: Joint statistical meetings, Orlando, FL (United States), 13-17 Aug 1995; Other Information: PBD: 1 Aug 1995
- Country of Publication:
- United States
- Language:
- English
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