Abstract: In this paper we present a new algorithm for Polynomial Linear System Solving (via evaluation/interpolation) with errors. In this scenario, errors can occur in the black box evaluation step.

ABSTRACT: The development of many estimators of parameters of linear regression model is traceable to non-validity of the assumptions under which the model is formulated, especially when applied to ...

Using a simplified approach developed by Severini and Tripathi (2001), we calculate the semiparametric efficiency bound for the finite-dimensional parameters of censored linear regression models with ...

ABSTRACT: The struggle of students to solve algebraic equations has been identified as a major challenge in mathematics education. This study investigated the effectiveness of the Hands-On Equations?

Abstract: In this paper, we propose a new formula for linear unbiased prediction of the local clock timescales. To predict future errors over all the measurement data, a new gain is derived for the ...

Linear Regression Model and Carrying Accurate Inference with Clustered Errors Using the Wild Cluster Bootstrap Standard Errors Procedure and Bootstrap-T procedure Use wcbregress With STATA 18 Wild ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Quantum error‐correcting codes (QECCs) have emerged as a crucial instrument in the quest to realise reliable quantum information processing. These codes utilise sophisticated mathematical frameworks ...