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 ...

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 ...

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 ...

Data that are collected for the production of official statistics or, more generally, for statistical analyses nearly always contain measurement errors. National statistical institutes, other ...