A Mixed Regression Model for the Analysis of Explosives Performance Data.
NAVAL SURFACE WEAPONS CENTER SILVER SPRING MD
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An intra-class regression model with additive error terms consisting of a gage calibration error, a within-class performance variation, and a general experimental error is developed for the analysis of explosives performance data associated with the shock waves of underwater explosions. Parameter estimates for this mixed model are sought by means of the maximum likelihood and restricted maximum likelihood techniques. Derivatives of the likelihood function suitable for constrained Newton-Raphson optimization are derived. Useful applications are discussed.
- Statistics and Probability