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 ...
Alcácer, Juan, Wilbur Chung, Ashton Hawk, and Gonçalo Pacheco-de-Almeida. "Applying Random Coefficient Models to Strategy Research: Identifying and Exploring Firm Heterogeneous Effects." Strategy ...
A machine learning random forest regression system predicts a single numeric value. A random forest is an ensemble (collection) of simple decision tree regressors that have been trained on different ...
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) ...
A large class of flows and stocks series related to production, shipments, sales and inventories are affected by trading-day or calendar variations. Trading-day variations represent the 'within-month ...
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 ...
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