A Likelihood-Based Approximation to the Cumulative Distribution Function of the Noncentral t Distribution |
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| Authors: | F Chang |
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| Institution: | Department of Mathematics and Statistics , York University , Toronto , Ontario , Canada |
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| Abstract: | Optimal designs for estimating the parameters and also the optimum factor combinations in multiresponse experiments have been considered by various authors. However, till date, in mixture experiments optimum designs have been studied only in the single response case. In this article, attempt has been made to investigate optimum designs for estimating optimum mixing proportions in a multiresponse mixture experiment. |
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| Keywords: | Canonical parameter Exponential family model Lugannani and Rice formula p-value function Signed log-likelihood ratio statistic |
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