Results 71 to 80 of about 44,560 (263)
A unifying approach to the estimation of the conditional Akaike information in generalized linear mixed models [PDF]
The conditional Akaike information criterion, AIC, has been frequently used for model selection in linear mixed models. We develop a general framework for the calculation of the conditional AIC for different exponential family distributions. This unified
Saefken, Benjamin +4 more
core +1 more source
ABSTRACT Vending is an important sector in the daily lives of many people, and coffee is the most frequently consumed product in the European market. Like many other sectors, vending is responding to the challenge of sustainable development by taking various actions, such as offering increasingly ecologically sound coffee while maintaining/improving ...
Alberto Bertossi +2 more
wiley +1 more source
The Combined Forecasts Using the Akaike Weights [PDF]
The focus in the paper is on the information criteria approach and especially the Akaike information criterion which is used to obtain the Akaike weights.
Mariola Pilatowska
core
ABSTRACT Amidst a recent surge in US goat meat imports to meet growing demand, this study contributes to the meat demand literature by examining consumer preferences for goat meat, a relatively healthy and environmentally friendly alternative to other popular meats.
Binod Khanal +2 more
wiley +1 more source
The Cox proportional hazards model is one of the most used models to analyze time-to-event outcomes. The decision on the most suitable model for those data is an essential analysis point.
Clarisse Houénafa Dete +4 more
doaj +1 more source
: The aim of this research was to evaluate the dimensional reduction of additive direct genetic covariance matrices in genetic evaluations of growth traits (range 100-730 days) in Simmental cattle using principal components, as well as to estimate (co ...
Rodrigo Reis Mota +6 more
doaj +1 more source
Empirical Information Criteria for Time Series Forecasting Model Selection [PDF]
In this paper, we propose a new Empirical Information Criterion (EIC) for model selection which penalizes the likelihood of the data by a function of the number of parameters in the model.
R.J. Hyndman, Md B. Billah, A.B. Koehler
core
U.S. Consumer Preferences for Cage‐Free Eggs and Hen Housing Policies
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
Return and Volatility Spillovers Among Major Cotton Markets
ABSTRACT This study explores return and volatility transmission among major cotton markets. Several events have disrupted cotton supply and demand in recent years, leading to heightened price volatility and significant shifts in market interconnections.
Susmitha Kalli +3 more
wiley +1 more source
Model Selection Criteria in Multivariate Models with Multiple Structural Changes [PDF]
This paper considers the issue of selecting the number of regressors and the number of structural breaks in multivariate regression models in the possible presence of mul- tiple structural changes.
Eiji Kurozumi, Purevdorj Tuvaandorj
core

