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- W1528687036 abstract "Experimental designs with performance measures as responses are common in industrial applications. The existing analysis methods often regard performance measures as sole response variables without replicates. Consequently, no degrees of freedom are left for error variance estimation in these methods. In reality, performance measures are obtained from replicated primary-response variables. Precious information is hence lost. In this paper, we suggest a jackknife-based approach on the replicated primary responses to provide an estimate of error variance of performance measures. The resulting tests for factor effects become easy to construct and more reliable. We compare the proposed method with some existing methods using two real examples and investigate the consistency of the jackknife variance estimate based on simulation studies." @default.
- W1528687036 created "2016-06-24" @default.
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- W1528687036 date "2005-04-01" @default.
- W1528687036 modified "2023-10-12" @default.
- W1528687036 title "Analysis of Performance Measures in Experimental Designs Using Jackknife" @default.
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- W1528687036 doi "https://doi.org/10.1080/00224065.2005.11980308" @default.
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