Complex traits with multiple phenotypic values changing over time are called time-dependent or longitudinal traits. Knowledge of the genetic effects influencing longitudinal patterns is important to ...

Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 164, No. 2 (2001), pp. 259-273 (15 pages) Commonly applied diagnostic procedures in random-coefficient (multilevel) ...

Quandt [20] analyzed the problem of discontinuous shifts in regression regimes at unknown points in the data series. We note that Quandt's statistical approach based solely on the likelihood function ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...

The slope and intercepts we compute in a regression model are statistics calculated from the sample data. They are point estimates of corresponding parameters; namely, the slope and intercept in the ...

Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

This article develops five regression models to estimate pipeline construction component costs for different types of pipelines in different regions. Researchers have long used historical pipeline ...