Results 61 to 70 of about 22,182 (267)
Exploring the Impact of Meat Alternative Labeling Regulations on the U.S. Meat Consumption Patterns
Agribusiness, EarlyView.ABSTRACT The global demand for conventional meat continues to rise, but it is also associated with substantial environmental and health challenges. In response, meat alternatives have gained popularity, sparking debates over meat alternative labeling regulations. This study investigates the effects of meat alternative labeling regulations in the United
Jeong Hun Ji, Sang Hyeon Lee
wiley +1 more source
Heteroscedastic Causal Structure Learning
, 2023 Heretofore, learning the directed acyclic graphs (DAGs) that encode the cause-effect relationships embedded in observational data is a computationally challenging problem. A recent trend of studies has shown that it is possible to recover the DAGs with polynomial time complexity under the equal variances assumption.
Bao Duong, Thin Nguyen
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Retrieval of among-stand variances from one observation per stand
Journal of Forest Science, 2020 Forest inventories provide predictions of stand means on a routine basis from models with auxiliary variables from remote sensing as predictors and response variables from field data.
Steen Magnussen, Johannes Breidenbach
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Agribusiness, EarlyView.ABSTRACT The derived demand for the increased demand for meat and dairy products is clearly observed in the fast‐paced growth of the Indian feed industry and its increased demand for agricultural commodities (e.g., corn, soybean, rice, wheat, broken rice, millet, etc.) as feed ingredients.
Dwiti Baruah Thapa +2 more
wiley +1 more source
Estimation of Heteroscedasticity in Regression Analysis
The Annals of Statistics, 1987 The authors consider the regression model \(Y_ i=g(t_ i)+\epsilon_ i\), \(1\leq i\leq n\), with design variables \(t_ i\) (nonrandom) and measurements \(Y_ i\), g being the unknown regression function. The errors are assumed to be heteroscedastic. The problem is to estimate the variance \(\sigma^ 2(t)\) of the observations at any given design point t ...
Muller, Hans-Georg, Stadtmuller, Ulrich
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SeparationsBackground: Method quantification limits are typically determined by measuring variability at blank level only, without accounting for the uncertainties associated with the parameters of the calibration function applied.
Natàlia Hernández, Juan M. Sanchez
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E-Jurnal Matematika, 2014 The volatilities of time series data often experience heteroscedastic problems. Heteroscedasticity is a nuisance variable in the regression equation having a variance that is not constant.
MADE ADI GUNAWAN +2 more
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Food Security Strategy, Macroeconomic Dynamics and Food Import Sensitivity in Qatar
Agribusiness, EarlyView.ABSTRACT Qatar has limited agricultural land and water resources and therefore remains highly dependent on food imports. This structural dependency makes Qatar vulnerable to external shocks such as the recent Gulf crisis, threatening food security and disrupting global supply chains. In response to previous shocks, Qatar started implementing a National
Hansini Ranjan +5 more
wiley +1 more source
Comparison of panel data and cross-sectional regression results; case of functional fixation hypothesis [PDF]
مطالعات تجربی حسابداری مالی, 2014 This research compares regression analysis including cross section regression and pooled regression for test of functional fixation hypothesis. The Comparison of cross section and pooled regression in case of functional fixation hypothesis is done.
Farrokh Barzideh
doaj
American Journal of Agricultural Economics, EarlyView.Abstract Large‐scale land reforms constitute a substantial redistribution of wealth and reallocation of agricultural land, which is a major form of asset and production input in developing countries. While land redistribution (from the rich to the poor) remains a highly controversial issue, extensive evidence on its effect is limited.
Devashish Mitra +3 more
wiley +1 more source