Results 21 to 30 of about 5,409,783 (312)
Inverted Weibull Regression Models and Their Applications
In this paper, we propose the classical and Bayesian regression models for use in conjunction with the inverted Weibull (IW) distribution; there are the inverted Weibull Regression model (IW-Reg) and inverted Weibull Bayesian regression model (IW-BReg ...
Sarah R. Al-Dawsari, Khalaf S. Sultan
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Bandwidth Selection in Nonparametric Regression with Large Sample Size
In the context of nonparametric regression estimation, the behaviour of kernel methods such as the Nadaraya-Watson or local linear estimators is heavily influenced by the value of the bandwidth parameter, which determines the trade-off between bias and ...
Daniel Barreiro-Ures +2 more
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Alexis Derumigny, Jean-David Fermanian
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Comparison of regression models under multi-collinearity [PDF]
Multicollinearity is a major problem in linear regression analysis and several methods exists in the literature to deal with the same. Ridge regression is one of the most popular methods to overcome the problem followed by Generalized Ridge Regression ...
Srinivasan, Rangasami M.; Department of Statistics, University of Madras +2 more
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The impact of information literacy on consumer’s purchase decision in digital shopping: A case study of online local clothing business [PDF]
Introduction: In digital shopping, numerous factors influence the consumers’ purchase decision. Among them, information literacy plays a key role. In this regard, the current study aims to develop a model of how information literacy affects the consumers’
Afrin Shirzadi +2 more
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Logistic regression diagnostics in ridge regression
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M. Revan Özkale +2 more
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Amino acid (AA)-to-crude protein (CP) ratios in soybean meal (SBM) may be different for different sources of SBM depending on the presence of additional hulls.
Su A Lee, Chan Sol Park, Beob Gyun Kim
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Accurate Peak Detection for Optical Sensing with Reduced Sampling Rate and Calculation Complexity
Fiber Bragg gratings (FBGs) are widely applied in optical sensing systems due to their advantages including being simple to use, high sensitivity, and having great potential for integration into optical communication systems. A common method used for FBG
Jiun-Yu Sung +3 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Penalized wavelet monotone regression [PDF]
In this paper we focus on nonparametric estimation of a constrained regression function using penalized wavelet regression techniques. This results into a convex op- timization problem under linear constraints.
Irène Gijbels +5 more
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