In the context of the classical linear model, the problem of comparing two arbitrary hypotheses on the regression coefficients is considered. Problems involving nonlinear hypotheses, inequality ...

Researchers discovered a significant negative correlation between an individual's oxidative balance score and systemic immune ...

Background The evidence on associations between ultra-processed foods (UPF) and lung cancer risk is limited and inconsistent.

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...

A new study published in the journal of Nature Scientific Reports highlighted the importance of copper as a micronutrient in ...

Researchers have found in a global study of over 63,000 pregnant women that low free thyroxine (FT4) levels and isolated ...

Vehicle emissions are a leading source of greenhouse gases, yet conventional modeling tools assume symmetrical and proportional relationships between fuel use, engine size, and emissions. This ...

Prior research has documented a correlation between the imposition of sanctions and worsening health conditions in target countries. However, the direction of causality in this relationship remains ...

The ability to anticipate glucose changes before they happen is one of ML’s biggest contributions to CGM. Predictive models ...

Linear regression analyzes two separate variables in order to define a single relationship. In chart analysis, this refers to the variables of price and time.