Results 81 to 90 of about 103,075 (296)

S-estimation and a robust conditional Akaike information criterion for linear mixed models. [PDF]

open access: yes
We study estimation and model selection on both the fixed and the random effects in the setting of linear mixed models using outlier robust S-estimators.
Tharmaratnam, Kukatharmini   +1 more
core  

An Improved Akaike Information Criterion For Generalized Log-Gamma Regression Models

open access: yes, 2006
We propose an improved Akaike information criterion (AICc) for generalized log-gamma regression models, which include the extreme-value and normal regression models as special cases.
Tsai, Chih Ling, Su, Xiaogang
core   +1 more source

Values of the Akaike Information Criterion (AIC), the Bayesian Information Criterion (BIC), and the Sample-Size-Adjusted BIC (SSABIC) across the seven competing latent profile analyses.

open access: yes, 2022
Values of the Akaike Information Criterion (AIC), the Bayesian Information Criterion (BIC), and the Sample-Size-Adjusted BIC (SSABIC) across the seven competing latent profile analyses.
Jessica Mettler (12936726)   +4 more
core   +1 more source

Farmers' Preferences for Gene Editing Crops and Influencing Factors

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele   +1 more
wiley   +1 more source

Appendix C. A description of the conditional Akaike information criterion (cAIC).

open access: yes, 2016
A description of the conditional Akaike information criterion (cAIC)
Kenneth O. Spence (2932809)   +5 more
core   +1 more source

Volatility analysis and forecasting of vegetable prices using an ARMA‐GARCH model: An application of the CF filter and seasonal adjustment method to Korean green onions

open access: yesAgribusiness, EarlyView.
Abstract The vegetable market experiences significant price fluctuations due to the complex interplay of trend, cyclical, seasonal, and irregular factors. This study takes Korean green onions as an example and employs the Christiano–Fitzgerald filter and the CensusX‐13 seasonal adjustment methods to decompose its price into four components: trend ...
Yiyang Qiao, Byeong‐il Ahn
wiley   +1 more source

Determinants of local food producer participation in state‐sponsored marketing programs: Evidence from Missouri

open access: yesAgribusiness, EarlyView.
Abstract This study examines producer participation choices considering a variety of potential benefits linked to state‐sponsored marketing programs, using a real choice dataset of farmers in Missouri. Multinomial logit models are employed to predict determinants of farmer enrollment in three tiers of the Missouri Grown local food marketing program ...
Lan Tran, Ye Su, Laura McCann
wiley   +1 more source

Analyzing individual rent price ratios in eastern German agricultural land markets: A GAMLSS approach

open access: yesAgribusiness, EarlyView.
Abstract This study explores the rent price ratio in agricultural land markets, crucial for evaluating market efficiency, policy needs, and farmer decision‐making. Traditionally, the analyses faced challenges due to the absence of concurrent sale and rent data for the same land, potentially leading to biased results.
Marius Michels   +4 more
wiley   +1 more source

The Combined Forecasts Using the Akaike Weights [PDF]

open access: yes
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  

Akaike information criterion analysis for the survey efficiency rate.

open access: yes, 2018
K is the number of estimated parameters in the model; AICc is the second order (due to small sample size) Akaike’s information criterion value; Δi is the delta AIC, which is the difference between each model and the best model; and wi is the Akaike ...
Russell P. Burke (5166311)   +2 more
core   +1 more source

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