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Subset selection for normal means in multi-factor experiments
| Content Provider | Scilit |
|---|---|
| Author | Bechhofer, Robert E. Dunnett, Charles W. |
| Copyright Year | 1987 |
| Description | Journal: Communications in Statistics - Theory and Methods The procedure of Gupta [1956], [1965] for selecting a random sized subset of k ≧ 2 normal populations which contains the population with the largest population mean when the populations have a common variance is generalized to multi-factor experiments. Two-factor experiments with equal replication on each factor-level combination are discussed in detail. The cases of zero and non-zero interactions between factor levels are considered. For the two-factor, zero interaction case with a common number of observations at each factor-level combination, a table of constants necessary to implement the procedure is provided for experiments having selected levels per factor; the constants are equi-coordinate upper percentage points of a multivariate Student t distribution. |
| Related Links | http://ecommons.cornell.edu/bitstream/1813/8611/1/TR000728.pdf |
| Ending Page | 2286 |
| Page Count | 10 |
| Starting Page | 2277 |
| ISSN | 03610926 |
| e-ISSN | 1532415X |
| DOI | 10.1080/03610928708829506 |
| Journal | Communications in Statistics - Theory and Methods |
| Issue Number | 8 |
| Volume Number | 16 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 1987-01-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Communications in Statistics - Theory and Methods Mathematical Social Sciences Selection Procedures Subset Apperoach Factorial Experiments Mulitiuariate Strdent T Distribution |
| Content Type | Text |
| Subject | Statistics and Probability |
