Correction to “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”

IF 1.5 3区环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES

Environmetrics Pub Date : 2025-02-27 DOI:10.1002/env.70008

引用次数: 0

Abstract

Newlands, N.K. and Lyubchich, V. 2025. “ Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models.” Environmetrics 36(2), e70000. https://doi.org/10.1002/env.70000.

In the initial published version of this article, the title was incorrect. Below is the corrected article title:

Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”

We apologize for this error.

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来源期刊

Environmetrics 环境科学-环境科学

CiteScore

2.90

自引率

17.60%

发文量

审稿时长

18-36 weeks

期刊介绍： Environmetrics, the official journal of The International Environmetrics Society (TIES), an Association of the International Statistical Institute, is devoted to the dissemination of high-quality quantitative research in the environmental sciences. The journal welcomes pertinent and innovative submissions from quantitative disciplines developing new statistical and mathematical techniques, methods, and theories that solve modern environmental problems. Articles must proffer substantive, new statistical or mathematical advances to answer important scientific questions in the environmental sciences, or must develop novel or enhanced statistical methodology with clear applications to environmental science. New methods should be illustrated with recent environmental data.