Linear models used for estimation of variance components are generally formulated under the assumption of independent errors. Herein we consider a two-way (mixed) model with errors assumed to follow a ...

This is a preview. Log in through your library . Abstract This paper considers identification and estimation of a nonparametric regression model with an unobserved discrete covariate. The sample ...

Nonlinear estimation algorithms are required for obtaining estimates of the parameters of a regression model with innovations having an ARMA structure. The three estimation methods employed by the ...

Mapping the mass distribution \(\rho_m\) in the universe is an important aspect of observational cosmology as the statistics of these mass maps contain a lot of information on the cosmology of our ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...