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A result on hypothesis testing for a multivariate normal distribution when some observations are missing |
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| Authors: | Arthur Cohen | |
| Institution: | Department of Statistics, Rutgers University USA | |
| Abstract: | Let Ui = (Xi, Yi), i = 1, 2,…, n, be a random sample from a bivariate normal distribution with mean μ = (μx, μy) and covariance matrix  | |
| Keywords: | 62H15 62C15 Hypothesis testing multivariate normal distribution missing values admissibility Bayes test similar test | |
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