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Strategic reliable supply chain network design : determining tradeoffs between cost and risk

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A two-stage chance constrained stochastic programming model for emergency supply distribution considering dynamic uncertainty

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The optimal decision of customer order decoupling point for order insertion scheduling in logistics service supply chain

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Hierarchical models for the spatial-temporal carbon nanotube height variations

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A decomposition based hybrid heuristic algorithm for the joint passenger and freight train scheduling problem

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Political uncertainty, realized volatility, and jumps in the Chinese stock market

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Global financial uncertainties and China's crude oil futures market : evidence from interday and intraday price dynamics

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The effect of artificial intelligence on carbon intensity : evidence from China's industrial sector

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Investigating the performance of AIC in selecting phylogenetic models

Dwueng-Chwuan, Jhwueng; Snehalata, Huzurbazar; … - In: Statistical Applications in Genetics and Molecular Biology 13 (2014) 4, pp. 17-17

The popular likelihood-based model selection criterion, Akaike’s Information Criterion (AIC), is a breakthrough mathematical result derived from information theory. AIC is an approximation to Kullback-Leibler (KL) divergence with the derivation relying on the assumption that the likelihood...

Persistent link: https://www.econbiz.de/10010885214