000 | 01826nab a22003137a 4500 | ||
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001 | G69024 | ||
003 | MX-TxCIM | ||
005 | 20230516192400.0 | ||
008 | 121211b |||p||p||||||| |z||| | | ||
022 | _a1467-9868 | ||
022 | _a1369-7412 (Online) | ||
024 | _2https://doi.org/10.1111/j.2517-6161.1963.tb00503.x | ||
040 | _aMX-TxCIM | ||
041 | _aeng | ||
090 | _aREP-1208 | ||
100 | 1 |
_aGhosh, M.N. _930837 |
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245 | 1 | 0 | _aPower of Tukey's test for non-additivity |
260 |
_c1963. _aUnited Kingdom : _bWiley, |
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340 | _aPrinted | ||
520 | _aThe problem of testing for non-additivity in a two-way classification has been considered in this paper where the mean μii can be expressed as μ+αi+βi where αi and βi are the effects of the two ways of classification (i = 1, …,p;j = 1, …,q). Tukey (1949) has suggested a test for non-additivity. The power function of this test has been found in this paper for alternatives of the form μii = μ+αi+βi+cαi βi and numerical calculations made for the case of p = q = 6. For the sake of comparison the special case of α2i–1 = α2i, β2j–1 = β2j has also been considered, when an F-test is available with d.f. (4, 27). It is seen that the power of Tukey's statistic is slightly less than that of the F-test for smaller values of C2 σ2 and urn:x-wiley:00359246:equation:rssb00503-math-0001, but for a wide range of values of these parameters, the performance of Tukey's statistic is better. | ||
546 | _aText in English | ||
595 | _aRPC | ||
650 | 7 |
_2AGROVOC _912181 _aAdditive models |
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650 | 7 |
_2AGROVOC _99447 _aStatistics |
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651 | 7 |
_2AGROVOC _93716 _aTürkiye |
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700 | 1 |
_aSharma, D. _927106 |
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773 | 0 |
_tJournal of the Royal Statistical Society Series B _gv. 25, no. 1, p. 213-219 _dUnited Kingdom : Wiley, 1963. _x1467-9868 |
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942 |
_cJA _2ddc |
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999 |
_c19673 _d19673 |