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U.S. Consumer Preferences for Cage‐Free Eggs and Hen Housing Policies

open access: yesAgribusiness, EarlyView.
ABSTRACT Farm animal welfare (FAW) continues to be a divisive issue in the egg industry. In the United States, 10 states and most major retailers have implemented policies or voluntary pledges to transition to 100% cage‐free egg sales. We use best‐worst scaling and discrete choice experiments to evaluate U.S.
Vincenzina Caputo   +3 more
wiley   +1 more source

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

open access: yesAgribusiness, 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
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Water quality assessment of the Karasu River (Turkey) using various indices, multivariate statistics and APCS-MLR model.

Chemosphere, 2022
Determining the water quality status of a river and accurately identifying potential pollution sources threatening the river are pillars in effective control of pollution and sustainable water management.
M. Varol   +2 more
semanticscholar   +1 more source

Source identification of surface water pollution using multivariate statistics combined with physicochemical and socioeconomic parameters.

Science of the Total Environment, 2021
Accurate identification of potential contamination sources of river water is a basis for effective pollution control and sustainable water management. Pollution source identification based on physicochemical-parameters-only method may lead to uncertainty
Han Zhang   +3 more
semanticscholar   +1 more source

Assessment of plant biomass for pellet production using multivariate statistics (PCA and HCA)

Renewable Energy, 2019
Multivariate statistics can be a powerful tool in the assessment of energy properties of lignocellulosic materials and it is fundamental to estimate the theoretical, technical and economic potentials of these biomasses for bioenergy production.
Dorival Pinheiro Garcia   +4 more
semanticscholar   +1 more source

Multivariate statistics: Considerations and confidences in food authenticity problems

Food Control, 2019
Modern analytical measurement technologies, such as infrared, NMR, mass spectrometry and chromatography, provide a wealth of information on the chemical composition of all kinds of samples.
E. Kemsley, M. Defernez, F. Marini
semanticscholar   +1 more source

SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics

, 2018
This concise and very easy-to-use primer introduces readers to a host of computational tools useful for making sense out of data, whether that data come from the social, behavioral, or natural sciences.
D. Denis
semanticscholar   +1 more source

Mapping soil properties with soil-environmental covariates using geostatistics and multivariate statistics

International Journal of Environmental Science and Technology, 2021
K. John   +8 more
semanticscholar   +1 more source

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