Stats4Grads: Fisher information under Gaussian quadrature models
25 February 2015 13:00 in CM105
We develop explicit expressions to compute the Fisher information matrix for the estimation of random effect models through Gaussian Quadrature. Illustrative examples using real data application and simulated data are provided.
Contact firstname.lastname@example.org for more information
See the Stats4Grads page for more details about this series.