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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
Robert Eric Bechhofer
Saul Blumenthal
出版
Cornell University
, 1961
URL
http://books.google.com.hk/books?id=c-29DVJjvnsC&hl=&source=gbs_api
EBook
FULL_PUBLIC_DOMAIN
註釋
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.
