Results 111 to 120 of about 36,988 (280)
MODELING ADVERTISING CARRYOVER IN FLUID MILK: COMPARISON OF ALTERNATIVE LAG SPECIFICATIONS
The performance of restricted estimators such as Almon and Shiller in modeling advertising carryover is tested and compared to the unrestricted OLS estimator, using 1971-1988 monthly New York City fluid milk market data.
Venkateswaran, Meenakshi +2 more
core
Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao +3 more
wiley +1 more source
HeliyonIn general, the incorporation of supplementary information reduces the Mean Square Error (MSE) and, consequently, enhances the precision of estimating a population parameter.
Khazan Sher +4 more
doaj +1 more source
, 2018 Each point shows the result from a simulation repetition, and there are 10,000 such repetitions. Contours are bivariate kernel density estimates. The large point is the mean of MSEs across repetitions.
Jason Dana (6009032) +2 more
core +1 more source
Agribusiness, EarlyView.ABSTRACT Smallholder farmers are reverting to traditional production methods due to the high opportunity costs and unintended consequences of new technologies. This study focuses on row planting technology, which is labor‐intensive and slow without mechanized operations.
Emmanuel Tetteh Jumpah +4 more
wiley +1 more source
An Error Assessment of the Kriging Based Approximation Model Using a Mean Square Error
, 2006 A Kriging model is a sort of approximation model and used as a deterministic model of a computationally expensive analysis or simulation. Although it has various advantages, it is difficult to assess the accuracy of the approximated model.
정도현 +3 more
core
, 2014 Error for fitting the TNNP to the IMW model (TNNP-IMW), and fitting the UCLA rabbit model to experimental data sets 1 (UCLA-Expt1) and 2 (UCLA-Expt2) are shown.
Jaspreet Kaur (130950) +2 more
core +1 more source
Agribusiness, EarlyView.ABSTRACT Sustainability labels can help support consumers select more socially and environmentally friendly options, thereby enhancing returns for conscientious producers and promoting the transition to a more sustainable food system. However, consumer confusion regarding labels' meaning undermines their effectiveness.
Monika Hartmann +4 more
wiley +1 more source
Removing Noise from Digital Images Using of Mean Square Approximation
, 2011 In the paper a two-dimensional approximation filter obtained on the base of mean-square error minimalisation is presented. As the measure of quality the mean square error (MSE) criterion has been used. Image has been corrupted by some noise using normal (
Pęksiński, Jakub +1 more
core +1 more source
Is Precision Agriculture Technology Adoption Persistently Overestimated?
Agribusiness, EarlyView.ABSTRACT Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships ...
Trey Malone +5 more
wiley +1 more source