Results 11 to 20 of about 55,630 (305)

Adding bias to reduce variance in psychological results: A tutorial on penalized regression [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2017
Regression models are commonly used in psychological research. In most studies, regression coefficients are estimated via maximum likelihood (ML) estimation.
Helwig, Nathaniel E.
doaj   +1 more source

A Comparison of Two-Stage Least Squares (TSLS) and Ordinary Least Squares (OLS) in Estimating the Structural Relationship between After-School Exercise and Academic Performance

open access: yesMathematics, 2021
The current study examines the structural relationship between the academic performance exam scores of Korean middle school students and their after-school exercise hours.
Kyulee Shin, Sukkyung You, Mihye Kim
doaj   +1 more source

Modelling the impact of oil price fluctuations on food price in high and low-income oil exporting countries

open access: yesAgricultural Economics (AGRICECON), 2020
Oil exporting economies were the most hit by the recent oil price shock that spills on the food market in an increasingly volatile macroeconomic environment. This paper examines and compares sub-samples [before crisis (2000 Q1-2013 Q1) and during crisis (
Ding Chen   +3 more
doaj   +1 more source

Estimating Detection Limits in Chromatography from Calibration Data: Ordinary Least Squares Regression vs. Weighted Least Squares

open access: yesSeparations, 2018
It is necessary to determine the limit of detection when validating any analytical method. For methods with a linear response, a simple and low labor-consuming procedure is to use the linear regression parameters obtained in the calibration to estimate ...
Juan M. Sanchez
doaj   +1 more source

Fuzzy Regression VS. Ordinary Least Squares Regression: Case Study

open access: yesRevista de Matemática: Teoría y Aplicaciones, 2011
The objective of this paper is to disseminate the technique of fuzzy regression and to give a practical example of its use. To this end, classical regression is compared to several fuzzy regression models on a problem concerning the consumer confidence ...
Sergio Gerardo De los Cobos Silva   +2 more
doaj   +1 more source

MILK PRICE PREDICTING WITH HOLT WINTERS AND ORDINARY LEAST SQUARES [PDF]

open access: yesScientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development, 2020
In this research, smoothing methods and the Ordinary Least Squares (OLS) method for predicting producer milk prices in Turkey is implemented. Holt-Winters multiplicative (HWM) method and Holt-Winters additive (HWA) method are included in the exponential ...
Filiz BASAGAOGLU
doaj  

ACCURACY ASSESSMENT OF HEIGHTS OBTAINED FROM TOTAL STATION AND LEVEL INSTRUMENT USING TOTAL LEAST SQUARES AND ORDINARY LEAST SQUARES METHODS

open access: yesGeoplanning: Journal of Geomatics and Planning, 2016
Spirit levelling has been the traditional means of determining Reduced Levels (RL’s) of points by most surveyors.  The assertion that the level instrument is the best instrument for determining elevations of points needs to be reviewed; this is because ...
Richard Fiifi Annan   +3 more
doaj   +1 more source

A New Convex Estimator Combining Ridge and Ordinary Least Squares Estimators [PDF]

open access: yesمجلة جامعة الانبار للعلوم الصرفة
In the presence of high correlation between the independent variables in the linear regression model, which is known as the multicollinearity problem, the ordinary least squares estimator produce large variations in the sample.
Karam Al-janabi, Mustafa Alheety
doaj   +1 more source

Poverty Reduction: Analysis of Factors Affecting Poverty in Lithuania

open access: yesOrganizacijų Vadyba: Sisteminiai Tyrimai, 2023
The purpose of this paper is to evaluate poverty reduction possibilities determining the effect of average wage and unemployment on poverty, identifying the factor that is a more important predictor of poverty in Lithuania. Based on scientific literature
Aleksandravičienė Akvilė   +2 more
doaj   +1 more source

Comparison of straight line curve fit approaches for determining parameter variances and covariances

open access: yesInternational Journal of Metrology and Quality Engineering, 2020
Pressure balances are known to have a linear straight line equation of the form y = ax + b that relates the applied pressure x to the effective area y, and recent work has investigated the use of Ordinary Least Squares (OLS), Weighted Least Squares (WLS),
Ramnath Vishal
doaj   +1 more source

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