回归分析在水科学中的应用综述

Summary on Application of Regression Analysis in Water Science

随着统计学的不断完善 ,回归分析理论也不断发展 ,许多新兴回归方法在水科学中也得到了应用 ,并大大促进了水科学的发展。系统地介绍了在水科学中应用的各种回归分析方法 ,包括岭回归、主成分回归、稳健回归、自回归、包络回归、多层递阶回归、模糊回归和灰色回归。

With the development of Statistics, regression analysis theory is evolving, and the regression algorithms are found wide applications in water science, and the wide applications of the regression algorithms can promote the development of water science. The new regression analysis methods applied in water science such as bridge regression, principal component regression, robust regression, auto-regression, envelope regression, multi-stratum recursive regression, fuzzy regression and grey regression are introduced systematically in this paper. The advantages and applicable scopes of each regression method are also induced and summarized.