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个人简介
Timothy G. Gregoire’s research is directed to the application and development of statistical methods for natural resources and environmental phenomena. One longstanding focus has been on probability sampling techniques, a second focus has been on statistical modeling of longitudinal and spatially correlated data, and a third has been an abiding interest on the nature of statistical inference. Recent pursuits include the design, planning and implementation of the national forest inventory for the Kingdom of Bhutan; development of aboveground biomass prediction models for major tree species of Bhutan; reduced impact logging in tropical forests of Democratic Republic of Congo; application of line intersect sampling for coarse woody debris biomass estimation in Brazilian forests; assessing the effects of spatial autocorrelation in remote sensing with systematic sampling; good practice on reporting data quality for land cover surveys, in collaboration with colleagues at UN FAO (Rome); and wood density estimation in highly diverse tropical forests.
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