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On an optimum test of the equality of two covariance matrices

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Abstract

Let X: p × 1, Y: p × 1 be independently and normally distributed p-vectors with unknown means ξ1, ξ2 and unknown covariance matrices Σ1, Σ2 (>0) respectively. We shall show that Pillai's test, which is locally best invariant, is locally minimax for testing H 0: Σ12 against the alternative H 1: % MathType!MTEF!2!1!+-% feaafeart1ev1aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn% hiov2DGi1BTfMBaeXafv3ySLgzGmvETj2BSbqefm0B1jxALjhiov2D% aebbfv3ySLgzGueE0jxyaibaiiYdd9qrFfea0dXdf9vqai-hEir8Ve% ea0de9qq-hbrpepeea0db9q8as0-LqLs-Jirpepeea0-as0Fb9pgea% 0lrP0xe9Fve9Fve9qapdbaqaaeGacaGaaiaabeqaamaabaabcaGcba% GaaeiDaiaabkhacaqGOaWaaabmaeaadaaeqaqaaiabgkHiTiaadMea% caGGPaGaaiiiaiabg2da9iaacccacqaHdpWCcaGGGaGaeyOpa4Jaai% iiaiaaicdaaSqaaiaaigdaaeqaniabggHiLdaaleaacaqGYaaabaGa% aeylaiaabgdaa0GaeyyeIuoaaaa!4E3F!\[{\rm{tr(}}\sum\nolimits_{\rm{2}}^{{\rm{ - 1}}} {\sum\nolimits_1 { - I) = \sigma > 0} }\]as σ→0. However this test is not of type D among G-invariant tests.

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Research supported by the Canadian N.S.E.R.C. Grant.

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Giri, N. On an optimum test of the equality of two covariance matrices. Ann Inst Stat Math 44, 357–362 (1992). https://doi.org/10.1007/BF00058645

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  • DOI: https://doi.org/10.1007/BF00058645

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