Insensitivity Regions and Outliers in Mixed Models with Constraints
DOI:
https://doi.org/10.17713/ajs.v35i2&3.370Abstract
A procedure for detecting outliers in regular linear regression models with constraints on mean value parameters is presented. A problem, how unknown variance components influence the optimum quality of used test statistics, is studied by sensitivity analysis. Explicit forms of insensitivity regions for testing hypotheses are given.References
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