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
- Developing, Implementing, and Evaluating a Police Fatigue Risk-Management Strategy for the Seattle Police Department
- Dual Pathways of Concealed Gun Carrying and Use from Adolescence to Adulthood over a 25-year Era of Change
- Optimizing the Analysis of DNA from Burned Bone Using Ancient DNA Techniques