Interdisciplinary approaches: towards new statistical methods for phenological studies
Author:
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science,Global and Planetary Change
Link
http://link.springer.com/content/pdf/10.1007/s10584-010-9859-9.pdf
Reference235 articles.
1. Alexander LV, Arblaster JM (2009) Assessing trends in observed and modelled climate extremes over Australia in relation to future projections. Int J Climatol 29:417–435
2. Alfo M, Farcomeni A, Tardella L (2007) Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments. Comput Stat Data Anal 51:5253–5265
3. Aono Y, Kazui K (2008) Phenological data series of cherry tree flowering in Kyoto, Japan, and its application to reconstruction of springtime temperatures since the 9th century. Int J Climatol 28:905–914
4. Aono Y, Saito S (2010) Clarifying springtime temperature reconstructions of the medieval period by gap-filling the cherry blossom phenological data series at Kyoto, Japan. Int J Biometeorol 54:211–219
5. Baccini M, Biggeri A, Accetta G et al (2008) Heat effects on mortality in 15 European cities. Epidemiology 19:711–719
Cited by 29 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Multi-species, ecological and climate change temporalities: Opening a dialogue with phenology;Environment and Planning E: Nature and Space;2022-07-11
2. Quantifying phenological diversity: a framework based on Hill numbers theory;PeerJ;2022-05-12
3. Recognition of dominant driving factors behind sap flow of Liquidambar formosana based on back-propagation neural network method;Annals of Forest Science;2021-11-12
4. Gradient boosting in Markov-switching generalized additive models for location, scale, and shape;Econometrics and Statistics;2021-04
5. Mixture Transition Distribution Modelling of Multivariate Time Series of Discrete State Processes: With an Application to Modelling Flowering Synchronisation with Respect to Climate Dynamics;Probability, Combinatorics and Control;2020-04-15
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3