基本信息
浏览量:9
职业迁徙
个人简介
Pierre Dutilleul’s academic background is in Mathematics and Statistics, and his research interests are in statistical inference (estimation and testing) in the temporal and spatial frameworks, in a variety of domains including Environment and Ecology, the soil sciences (e.g., seismology), and phytometry.
In Google Scholar, Dr. Dutilleul is most known (~900 citations) for his modified t-test for correlation analysis with spatial data, and several extensions of the test have been developed by his group since. Professor Dutilleul is also known for his innovative phytometric research work, in which his group is using a computed tomography (CT) scanner to collect 3-D spatial data on plant structures, and analyzes them statistically; this provided an interview to the Science Magazine and a Radio-Canada Découverte reportage; that work now includes the studies of soil and wood properties. Pierre Dutilleul has authored ~180 peer-reviewed publications and one book (“Spatio-Temporal Heterogeneity: Concepts and Analyses”, Cambridge University Press), and has coordinated from beginning to end the e-book project “Branching and Rooting Out with a CT Scanner” (Nature Publishing Group/Macmillan).
In Google Scholar, Dr. Dutilleul is most known (~900 citations) for his modified t-test for correlation analysis with spatial data, and several extensions of the test have been developed by his group since. Professor Dutilleul is also known for his innovative phytometric research work, in which his group is using a computed tomography (CT) scanner to collect 3-D spatial data on plant structures, and analyzes them statistically; this provided an interview to the Science Magazine and a Radio-Canada Découverte reportage; that work now includes the studies of soil and wood properties. Pierre Dutilleul has authored ~180 peer-reviewed publications and one book (“Spatio-Temporal Heterogeneity: Concepts and Analyses”, Cambridge University Press), and has coordinated from beginning to end the e-book project “Branching and Rooting Out with a CT Scanner” (Nature Publishing Group/Macmillan).
研究兴趣
论文共 50 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Journal of Agricultural, Biological and Environmental Statisticspp.1-22, (2024)
SANKHYA-SERIES B-APPLIED AND INTERDISCIPLINARY STATISTICSno. 2 (2022): 683-693
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn