Mixed model-based additive models for sample extremes

Elsevier Inc
Publication Type:
Journal Article
Statistics & Probability Letters, 2008, 78 (17), pp. 2850 - 2858
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We consider additive models fitting and inference when the response variable is a sample extreme. Non-linear covariate effects are handled using the mixed model representation of penalised splines. A fitting algorithm based on likelihood approximations is derived. The efficacy of the resulting methodology is demonstrated via application to simulated and real data.
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