Using Quantile Regression to Classify Human Thermal Climates in China
2008/03/18
研討會日期 : 2008-03-18
時間 : 14:30
主講人 : Using Quantile Regression to Classify Human Thermal Climates in China
地點 : B棟110室
演講者簡介 : Professor Pin T. Ng為 Ph.D. in Economics, University of Illinois at Urbana-Champaign（1989）。
目前為Associate Professor，College of Business Administration，Northern Arizona University。
其主要研究領域為Econometric Theory、Applied Econometrics、International Trade and Finance、Urban and Regional Economics、Computational Statistics及Computer Simulations。
演講摘要 : Studies have been conducted to examine the spatial variations of human thermal comfort in various countries using different thermal comfort indices. These human thermal climate studies have important implications on human health, migration patterns, retirement decisions, tourism development, energy requirements, etc. Yan (2005) used clothing insulation (CLO) index to construct average clothing needs in various regions of China. These average CLO maps, however, only provide information on the center of the distribution of climate variation of the regions. Using quantile regressions, we estimated index and constructed contour maps for the whole spectrum of the CLO distribution to provide additional information on the spread and variation of the clothing requirements and, hence, a more complete picture of the human comfort of the various regions in China.
