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INVERSE REGRESSION METHOD IN DATA STRUCTURE ANALYSIS
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作者 朱力行 安鸿志 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 1991年第4期344-353,共10页
In order to explore the nonlinear structure hidden in high-dimensional data, some dimen-sion reduction techniques have been developed, such as the Projection Pursuit technique (PP).However, PP will involve enormous co... In order to explore the nonlinear structure hidden in high-dimensional data, some dimen-sion reduction techniques have been developed, such as the Projection Pursuit technique (PP).However, PP will involve enormous computational load. To overcome this, an inverse regressionmethod is proposed. In this paper, we discuss and develop this method. To seek the interestingprojective direction, the minimization of the residual sum of squares is used as a criterion, andspline functions are applied to approximate the general nonlinear transform function. The algo-rithm is simple, and saves the computational load. Under certain proper conditions, consistencyof the estimators of the interesting direction is shown. 展开更多
关键词 INVERSE regression method IN data STRUCTURE ANALYSIS
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Determinants of China’s OFDI Location Choices:A Comparison Study Between BRI Countries and Non-BRI Countries 被引量:1
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作者 Lili PAN Qianqian FENG +1 位作者 Jianping LI Lin WANG 《Journal of Systems Science and Information》 CSCD 2022年第1期1-18,共18页
In recent years,China’s outward foreign direct investment(OFDI)has risen significantly,arousing considerable interest in the motivations and drivers of Chinese overseas investment.This paper selected 27 host country-... In recent years,China’s outward foreign direct investment(OFDI)has risen significantly,arousing considerable interest in the motivations and drivers of Chinese overseas investment.This paper selected 27 host country-related indicators and extracted the common factors using the factor analysis method.This paper discusses the determinants of China’s OFDI location choice by using panel data regression method,and focuses on the differences between Belt and Road countries and nonBelt and Road countries.The results show that the favorable institutional environment and strong market demand of host countries have a positive influence on Chinese foreign investment.Besides,China’s investment in Belt and Road Initiative countries is more prone to a country with less developed technology and unreasonable energy utilization.China’s OFDI can promote technological progress in these countries and making full use of their advantage resources for economic development.As China’s economy has entered a“new normal”,its global influence has risen,and the relationship between the host countries and China has also mattered more on China’s OFDI decisions.This effort provides important supports for optimizing the location choices of Chinese enterprises’foreign investment. 展开更多
关键词 China’s OFDI location choice the Belt and Road Initiative panel data regression method
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