JSTOR Daily

A Comparison of Several Specification Error Tests for a General Alternative

This paper compares several tests for specification error in regression models when the alternative is nonspecific. We consider the Durbin-Watson, RESET, Chow, and ...
Nature

A bivariate measurement error model for nitrogen and potassium intakes to evaluate the performance of regression calibration in the European Prospective Investigation into ...

Within the European Prospective Investigation into Cancer and Nutrition (EPIC) study, the performance of 24-h dietary recall (24-HDR) measurements as reference measurements in a linear regression ...
JSTOR Daily

A Detailed Evaluation of Adjustment Methods for Multiplicative Measurement Error in Linear Regression with Applications in Occupational Epidemiology

It is often appropriately assumed, based on both theoretical and empirical considerations, that airborne exposures in the workplace are lognormally distributed, and that a worker's mean exposure over ...
AZOM

The Development of Honigs Regression

insights from industryDr. David Honigs, Ph.D.Field Applications ScientistPerkinElmer, Inc. In this interview, Dr. David Honigs, Ph.D, the Field Applications Scientist ...
The Motley Fool

What Does Regression Mean in Machine Learning?

Regression analysis predicts outcomes using various inputs, enhancing investment decision-making. Quality of data fed into machine learning regression models critically influences prediction accuracy.