Results 121 to 130 of about 103,075 (296)
Table of Akaike Information Criterion Values (AIC) for different predictive models of DSST.
, 2016 Table of Akaike Information Criterion Values (AIC) for different predictive models of DSST.
Charles A. Czeisler (81945) +5 more
core +1 more source
Agribusiness, EarlyView.ABSTRACT The US hemp market is a new and nascent industry that has been devoid of research for about half a century. This study examined the effects of exogenous shock on price at each phase of the value chain—Farm (hemp biomass), and its impact on prices at other phases of the value chain—Intermediary Processor (crude cannabidiol hemp) and Final ...
Solomon Odiase +2 more
wiley +1 more source
International Journal of Distributed Sensor Networks, 2019 Large and dense mobile ad hoc networks often meet scalability problems, the hierarchical structures are needed to achieve performance of network such as cluster control structure.
Liu Banteng +3 more
doaj +1 more source
Best models according to Akaike Information Criterion corrected for small sample bias (AICc).
, 2016 Best models according to Akaike Information Criterion corrected for small sample bias (AICc).
Karin Orsel (763534) +6 more
core +1 more source
Agribusiness, EarlyView.ABSTRACT This study investigates how consumer taste and brand equity perceptions shape the acceptance of plant‐based milk products. Using a blind/informed tasting experiment, we evaluated consumers' willingness to buy (WTB) and taste perception of a plant‐based milk alternative produced by a traditional dairy brand, compared with competing plant‐based ...
Federico Parmiggiani +6 more
wiley +1 more source
“Transforming The Plastic Industry: Harnessing Machine Learning for Enhanced Efficiency” [PDF]
International Journal of Industrial Engineering and Production ResearchOptimizing production in the plastic extrusion industry is a pivotal task for small scale industries. To enhance the efficiency in today’s competitive market being a small-scale manufacturer over their peers is challenging.
Arifa Khan, saravanan P
doaj
Defect Prediction Using Akaike and Bayesian Information Criterion [PDF]
Computer Systems Science and Engineering, 2022 Saleh Albahli +1 more
openaire +1 more source
Cost Pass‐Through in Crisis: Evidence From the German Malt‐Beer Supply Chain
Agribusiness, EarlyView.Abstract Global agri‐food supply chains are increasingly exposed to geopolitical shocks, climate volatility, and market consolidation, factors that disrupt traditional price relationships and reshape market power dynamics. Nowhere is this more visible than in the brewing sector, where agricultural raw materials meet complex industrial processing and ...
Nikolas Bublik, Lukáš Čechura
wiley +1 more source
Automated Dynamic Flow Experimentation for Rapid Kinetic Fitting of Transition Metal Catalysis
Angewandte Chemie, EarlyView.We have developed an automated dynamic flow experimentation platform to automatically fit and identify the most accurate kinetic model from a generated set of candidates. Three transition metal‐catalyzed transformations were performed using this workflow.
Florian L. Wagner +3 more
wiley +2 more sources
Akaike information criterion and log-likelihood values for the analysed variables.
, 2018 Akaike information criterion and log-likelihood values for the analysed variables.
A. A. Salzedas-Netto (5059217) +8 more
core +1 more source