Training data provide values of y observed on subjects at known values of t. Models relating the mean and variance of y to t can be formulated as mixed (fixed and random) models in terms of sets of functions of t, such as polynomial spline functions. A confidence set on t* can then be had as those hypothetical values of t for which y* is not detected as an outlier when compared to the model fit to the training data. With nonconstant variance, the p-values for these tests are approximate. (Publisher abstract modified)
Downloads
Similar Publications
- US Law Enforcement Officers' Stress, Job Satisfaction, Job Performance, and Resilience: A National Sample
- An Inter-laboratory Comparison of Probabilistic Genotyping Parameters and Evaluation of Performance on DNA Mixtures from Different Laboratories
- Understanding the Potential for Multidisciplinary Threat Assessment and Management Teams to Prevent Terrorism: Conducting a Formative Evaluation of the MassBay Threat Assessment Team