Various studies have examined generalized additive models (GAMs), comparing thin plate
splines (tp), P‐splines (ps), cubic regression splines (cr), and Gaussian processes (gp) for …

It has played a prominent digital role in the global economy, and Iraq seeks to keep pace
with the transformations and developments in the global digital economy. The research aims …

Abstract The Ordinary Least Squares Estimator (OLSE) is the best method for linear
regression if the classical assumptions are satisfied for estimating weights. When these …

This study investigates the asymptotic performance of the Quadratic Discriminant Function
(QDF) under correlated and uncorrelated normal training samples. This paper specifically …

This study compared the performance of some robust regression methods and the Ordinary
Least Squares Estimator (OLSE). The estimators were compared using varied levels of …

Regression analysis is indeed a statistical technique used to model the relationship
between a dependent variable (response variable) and one or more independent variables …

In this study, we assess the performance of some robust regression methods. These are the
least-trimmed squares estimator (LTSE), Huber maximum likelihood estimator (HME), S …

Özet Eksik değerlerin varlığı, veri analizinde yaygın bir sorundur. Veri kaybı, eksiksiz veri
gerektiren aşağı akış analizini engelleyebilmektedir. Bu eksiklik, ya verilere eksik durumları …

When the distribution of the errors in a linear model is normal, the OLSE pro-vides reliable
parameter estimates for the linear model. When errors deviate from normality, the OLS …