Results 111 to 120 of about 132,600 (302)

Who Are the Consumers of European Farmers' Markets? A Cross‐Country Analysis

Agribusiness, EarlyView.
ABSTRACT With substantial growth in the number of farmers' markets (FMs) in developed countries, the number of consumers visiting FMs is also increasing. This study comparatively assesses the consumers of FMs in three European countries where FMs traditionally play a distinctive role in food supply chains.
Áron Török, Gréta Maró, Zsófia Jámbor, Zalán Márk Maró, Barbara Tocco, Péter Balogh, Péter Czine   +6 more
wiley   +1 more source

Multicollinearity and Imprecise Estimation

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1969
Summary For the standard linear model containing several explanatory variables, the precision of estimation of linear parametric functions is analysed in terms of latent roots and vectors of X'X, where X is the matrix of values of explanatory variables.
openaire   +2 more sources

Assessing Haitian Consumers' Willingness to Pay a Premium for Aflatoxin‐Compliant Peanut Butter in the Informal Market

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, Stevens Azima, Maurice Doyon   +2 more
wiley   +1 more source

Estimation under Multicollinearity: Application of Restricted Liu and Maximum Entropy Estimators to the Portland Cement Dataset

A high degree of multicollinearity among the explanatory variables severely impairs estimation of regression coefficients by the Ordinary Least Squares. Several methods have been suggested to ameliorate the deleterious effects of multicollinearity.
Mishra, SK
core  

Affect of multicollinearity in unbiased regression models [PDF]

, 2011
One of the assumptions of the multiple linear regression model is that there is no exact linear relationship between any of the independent variables. If such a linear relationship does exist, It can be said that the independent variables are collinear
Jahufer, Aboobacker
core  

New robust ridge-type estimators for beta regression under multicollinearity and outliers with application to breast cancer data

Applied Mathematics in Science and Engineering
The beta regression model (BRM) is a widely applied modeling approach for data bounded within the open interval (0, 1), and it is extensively used in fields such as chemistry, environmental science, medicine, and biology.
Ali T. Hammad, I. Elbatal, Ohud A. Alqasem, Ehab M. Almetwally, Amin M. A. Haleeb, Abdirashid M. Yousuf, M. M. Abd El-Raouf, Ahmed M. Gemeay   +7 more
doaj   +1 more source

Machine learning of large‐scale spatial distributions of wild turkeys with high‐dimensional environmental data

Ecology and Evolution, 2019
Species distribution modeling often involves high‐dimensional environmental data. Large amounts of data and multicollinearity among covariates impose challenges to statistical models in variable selection for reliable inferences of the effects of ...
Annie Farrell, Guiming Wang, Scott A. Rush, James A. Martin, Jerrold L. Belant, Adam B. Butler, Dave Godwin   +6 more
doaj   +1 more source

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, Ibtissem Taghouti, José María Gil Roig   +2 more
wiley   +1 more source

Robust Kibria Estimators for Mitigating Multicollinearity and Outliers in a Linear Regression Model

Stats
In the presence of multicollinearity, the ordinary least squares (OLS) estimators, aside from BLUE (best linear unbiased estimator), lose efficiency and fail to achieve minimum variance.
Hina Naz, Ismail Shah, Danish Wasim, Sajid Ali   +3 more
doaj   +1 more source

Mapping the Innovation DNA of Agribusiness Firms: A Multi‐Method Analysis of Strategic Capabilities and Performance

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, Alvaro Dias   +1 more
wiley   +1 more source