High-dimensional measurement error data are becoming more prevalent across various
fields. Research on measurement error regression models has gained momentum due to …

In this note, we study how parameter vector estimation for a trigonometric regression model
and the expected squared residual error computed from an estimated model are affected by …

Many biological processes display oscillatory behaviour based on an approximately 24 h
internal timing system specific to each individual. One process of particular interest is gene …

This paper studies the expectile regression with error-in-variables to reduce the data error
and describe the overall data distribution. Specifically, the asymptotic normality of the …

This article mainly investigates the complete convergence and complete moment
convergence for weighted sums of random variables satisfying generalized Rosenthal type …

In the classic measurement error framework, covariates are contaminated by independent
additive noise. This paper considers parameter estimation in such a linear errors-in …

This article is devoted to the study of interpretation questions of parameter estimates for fully
connected linear regression models. In such models, all observed variables contain errors …

Данная работа посвящена исследованию вопросов интерпретации оценок параметров
моделей полносвязной линейной регрессии. В таких моделях все наблюдаемые …

O modelo com erros nas variáveis é uma alternativa ao modelo clássico de regressão
linear. Este modelo é utilizado quando as variáveis explicativas possuem erros inerentes à …