定量分析方法有哪几种英文？

There are several quantitative analysis methods available for various purposes. Some commonly used quantitative analysis methods include regression analysis, time series analysis, factor analysis, cluster analysis, and discriminant analysis. Regression analysis is a statistical technique used to explore the relationship between a dependent variable and one or more independent variables. Time series analysis focuses on analyzing data collected over regular intervals to identify patterns, trends, and seasonal variations. Factor analysis is used to identify underlying factors or dimensions that explain the relationships among a set of variables. Cluster analysis involves grouping similar observations or individuals together based on their characteristics. Discriminant analysis is a statistical technique used to classify or predict the membership of an observation into predefined groups. Each of these quantitative analysis methods has its own applications and assumptions. They can be used in various fields such as economics, social sciences, marketing, finance, and healthcare, among others. These methods help researchers analyze data, make predictions, identify patterns, and draw conclusions based on empirical evidence.