Results 11 to 20 of about 55,630 (305)
Adding bias to reduce variance in psychological results: A tutorial on penalized regression [PDF]
Regression models are commonly used in psychological research. In most studies, regression coefficients are estimated via maximum likelihood (ML) estimation.
Helwig, Nathaniel E.
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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
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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
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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
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Fuzzy Regression VS. Ordinary Least Squares Regression: Case Study
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
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MILK PRICE PREDICTING WITH HOLT WINTERS AND ORDINARY LEAST SQUARES [PDF]
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
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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
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A New Convex Estimator Combining Ridge and Ordinary Least Squares Estimators [PDF]
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
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Poverty Reduction: Analysis of Factors Affecting Poverty in Lithuania
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
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Comparison of straight line curve fit approaches for determining parameter variances and covariances
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
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