函数型数据分析若干方法

Several Methods of Functional Data Analysis

函数型数据分析是一种新型的统计学分析方法,它是统计学研究领域一个非常重要的热点话题,首次提出这个概念的是一名加拿大学者。函数型分析方法对数据进行有利描述,并且会主动突出不同特征的数据从而进行直观展示,它还可以通过输入自变量信息进而解释输出因变量的变化情况等。随着大数据时代的发展,函数型数据分析已经被应用到医学诊断、气象报告、儿童增长分析、笔记识别、脑电数据分析等等方面。本文主要介绍了函数型数据的概念、模型以及关于函数型数据分析的若干方法等。通过了解、分析进一步直观感受函数型数据分析方法的绝妙之处。

Functional data analysis is a new type of statistical analysis method.It is a very important hot topic in the field of statis⁃tical research.It was a Canadian scholar who first proposed this concept.The functional analysis method provides a favorable descrip⁃tion of the data,and will actively highlight the data with different characteristics for visual display.It can also explain the changes in the output dependent variable by inputting Information about independent variables.With the advent of the big data era,functional data analysis is suitable for medical diagnosis,weather reports,child growth analysis,note recognition,EEG data analysis,and so on.This article mainly introduces the concept and model of functional data and several methods of functional data analysis.Through under⁃standing and analysis,you can further intuitively feel the wonderfulness of the functional data analysis method.