Results 21 to 30 of about 884,004 (326)
Fuzzy Regression VS. Ordinary Least Squares Regression: Case Study
Revista 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
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Simultaneous Prediction of Actual and Average Values of Study Variable Using Stein-rule Estimators [PDF]
, 2011 The simultaneous prediction of average and actual values of study variable in a linear regression model is considered in this paper. Generally, either of the ordinary least squares estimator or Stein-rule estimators are employed for the construction of ...
Heumann, Christian, Shalabh, Shalabh
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Finite-time Identification of Stable Linear Systems Optimality of the Least-Squares Estimator [PDF]
IEEE Conference on Decision and Control, 2020 We present a new finite-time analysis of the estimation error of the Ordinary Least Squares (OLS) estimator for stable linear time-invariant systems. We characterize the number of observed samples (the length of the observed trajectory) sufficient for ...
Yassir Jedra, Alexandre Proutière
semanticscholar +1 more source
MILK PRICE PREDICTING WITH HOLT WINTERS AND ORDINARY LEAST SQUARES [PDF]
Scientific 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
Geoplanning: 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
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A New Convex Estimator Combining Ridge and Ordinary Least Squares Estimators [PDF]
مجلة جامعة الانبار للعلوم الصرفةIn 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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Comparison of straight line curve fit approaches for determining parameter variances and covariances
International 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
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Poverty Reduction: Analysis of Factors Affecting Poverty in Lithuania
Organizacijų 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
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Вестник Дагестанского государственного технического университета: Технические науки, 2022 Objective. The aim of this article is to develop a program for approximate estimation of regression models specified on the basis of the Leontief production function (non-elementary regressions with two variables) and use it for modeling the unemployment
M. P. Bazilevskiy, D. V. Karbusheva
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A Treatise on Ordinary Least Squares Estimation of Parameters of Linear Model
International journal of engineering and technology, 2018 This research article primarily focuses on the estimation of parameters of a linear regression model by the method of ordinary least squares and depicts Gauss-Mark off theorem for linear estimation which is useful to find the BLUE of a linear parametric ...
B. Mahaboob +4 more
semanticscholar +1 more source