A monte carlo simulation study on high leverage collinearity-enhancing observation and its effect on multicollinearity pattern. [PDF]
, 2011 Outliers in the X-direction or high leverage points are the latest known source of multicollinearity. Multicollinearity is a nonorthogonality of two or more explanatory variables in multiple regression models, which may have important influential impacts
Bagheri, Arezoo +2 more
core
Agribusiness, EarlyView.ABSTRACT Market‐based solutions are increasingly tested to address aflatoxin issues in peanuts in developing countries. Although previous studies have found that Haitian grocery store shoppers are willing to pay a 21% premium for peanut butter with levels of aflatoxin that meet international standards, no information is available for the much larger ...
Phendy Jacques +2 more
wiley +1 more source
Average group effect of strongly correlated predictor variables is estimable
, 2018 It is well known that individual parameters of strongly correlated predictor variables in a linear model cannot be accurately estimated by the least squares regression due to multicollinearity generated by such variables.
Tsao, Min
core
Analisis Pengaruh Green Product, Green Brand Dan Green Advertising Terhadap Proses Keputusan Pembelian Kaca Film Vkool Di Palembang [PDF]
, 2016 This study aims to determine whether the variable of brand image, product quality, and price has an influence on purchasing decisions lipstick Oriflame in Palembang. The population in this study are all consumers who use lipstick Oriflame in Palembang.
Suwandi, Yosep
core
Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives
Agribusiness, EarlyView.ABSTRACT Efficient plant variety registration is crucial for fostering innovation in the European Union, yet the current regulatory framework is complex and faces calls for reform. This study provides data‐driven evidence to inform the ongoing legislative debate by employing a mixed‐methods approach.
Sergio Urioste Daza +2 more
wiley +1 more source
Agribusiness, EarlyView.ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa +1 more
wiley +1 more source
Sample Size and Robustness of Inferences from Logistic Regression in the Presence of Nonlinearity and Multicollinearity [PDF]
The logistic regression models has been widely used in the social and natural sciences and results from studies using this model can have significant impact. Thus, confidence in the reliability of inferences drawn from these models is essential.
Bergtold, Jason S. +2 more
core +1 more source
When the River Runs Low: Heterogeneous Impacts of Transportation Disruptions on Local Grain Basis
Agribusiness, EarlyView.ABSTRACT A substantial share of U.S. soybean and corn exports from the Midwest moves by barge along the Mississippi River system to export terminals in the Louisiana Gulf. Transportation costs between Midwestern grain elevators and export terminals create a wedge between prices at these locations, and shocks to these costs are partially passed on to ...
Yuan Zhang +3 more
wiley +1 more source
StatsMulticollinearity in logistic regression models can result in inflated variances and yield unreliable estimates of parameters. Ridge regression, a regularized estimation technique, is frequently employed to address this issue.
H. M. Nayem +2 more
doaj +1 more source
Effects of Asset Structure, Operating Cash Flow, and Profitability on Debt Policy in Property and Real Estate Companies on the Indonesia Stock Exchange Period 2013-2017 [PDF]
, 2018 This study aims to determine the effect of asset structure, operating cash flow, and profitability on debt policy in property and real estate companies in the Indonesia Stock Exchange in 2013-2017. The analytical method used is multiple linear regression,
Guci, S. T. (Siti) +4 more
core