"First edition published in 2006." 1. Introduction -- What are linear mixed models (LMMs)? -- Models with random effects for clustered data -- Models for longitudinal or repeated-measures data -- A ...
Bayesian quantile regression extends the classical quantile regression framework by embedding it within a probabilistic paradigm, allowing direct inference on conditional quantiles through ...
Modeling positive-support and heavy-tailed data is a fundamental problem in reliability engineering and predictive maintenance. In this study, we introduced the Epanechnikov–Pearson Type V (EPV) ...
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