A Sequential Multiple Decision Procedure For Selecting The Best One Of Several Normal Populations With A Common Unknown Variance Ii Monte Carlo Sampling Results And New Computing Formulae
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A Sequential Multiple-decision Procedure for Selecting the Best One of Several Normal Populations with a Common Unknown Variance. Ii. Monte Carlo Sampling Results and New Computing Formulae
| Author | : Robert Eric Bechhofer |
| Publisher | : |
| Total Pages | : 62 |
| Release | : 1961 |
| Genre | : Monte Carlo method |
| ISBN | : |
Download A Sequential Multiple-decision Procedure for Selecting the Best One of Several Normal Populations with a Common Unknown Variance. Ii. Monte Carlo Sampling Results and New Computing Formulae Book in PDF, Epub and Kindle
Contents: Statement of the statistical problem S atistical assumptions The experimenter's goal, specification, and requirement Procedure D and the new computing formulae Description of Procedure D Definition of symbols The sampling, stopping, and terminal de cision rules Computation of the stopping statistic Use of Procedure D (method B) with various experimental designs Simplified computing formulae Numerical example Monte Carlo sampling results with Procedure D Description of the sampling procedure Sampling results Discussion of sampling results.
