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 ...

An empirical likelihood method was proposed in Hill and Peng (2014) to construct a unified interval estimation for the coefficient in an AR(1) model, regardless of ...

A new class of highly efficient and scalable quantum low-density parity-check error correction codes, capable of performance ...

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 ...