pearson correlation coefficient

First, what is Pearson product-moment correlation coefficient (simple correlation coefficient)?Related tables andRelated diagramscan reflect the relationship between the two variables and their related directions, but it is not possible to indicate

1. Pearson Pearson correlation coefficientPearson's correlation coefficient is also known as Pearson's correlation coefficient, which is used to reflect the statistical similarity between the two variables. Or to represent the similarity of two

The correlation coefficient of measurement correlation is many, the calculation method and characteristics of various parameters are different.Related indicators for continuous variables:At this time, the correlation coefficient of product

Transferred from: http://blog.csdn.net/wsywl/article/details/5727327Since the statistical correlation coefficients used are relatively frequent, here are a few articles to briefly introduce these coefficients.Correlation coefficient: Examine the

Kendall rank (Kendel level) correlation coefficient 1. Introduction In statistics, the Kendel correlation coefficient is named after Maurice Kendall, and is often expressed by the Greek letter Tau (Tau. The kender correlation coefficient is a

Study on the correlation coefficient of Pearson's accumulated momentPearson correlation coefficients (Pearson Correlation coefficient) are often used when doing similarity calculations, so how do you understand the coefficients? What is its

It depends on two aspects: the significant level and the correlation coefficient. (1) The significant level is the P value, which is the first, because if it is not significant, the correlation coefficient is no longer useful, may only be caused by

Transferred from: http://blog.csdn.net/wsywl/article/details/5859751Spearman Rank (spearman rank) correlation coefficient1. IntroductionIn statistics, the Spearman grade correlation coefficient is named after Charles Spearman and is often

Similarity between vectors There are many ways to measure the similarity between vectors. You can use the reciprocal of distance (various distances), vector angle, Pearson correlation coefficient, and so on. Pearson correlation coefficient

Sometimes we need to study the correlation of certain properties and specified attributes in the dataset, obviously we can use the general statistical method to solve the problem, the following is a brief introduction of two correlation analysis