English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This paper considers the statistic LEC and its application on econometric model selection. The idea is to apply the concept of least energy principle, and based on information entropy propose the least energy criterion expression LEC. It is shown that using the idea of comparing the LEC of model residual sequences and selecting the least LEC one as the real model is feasible. For practice, this paper takes the data of China export volume from 1978 to 2011 as an example to verify the idea. The conclusion shows that using least energy criterion to select model is effective.

The Least Energy Criterion LEC and Its Application in Model Selection