Search
Search Results
-
Gradual change-point analysis based on Spearman matrices for multivariate time series
It may happen that the behavior of a multivariate time series is such that the underlying joint distribution is gradually moving from one...
-
Rank Correlation
This chapter discusses the rank correlation and its extensions. The rank vector is introduced in section 1. This is followed by a discussion of...
-
Pearson’s Correlation
This chapter discusses the essential concepts involved in computing the Pearson’s correlation. Properties of variance, covariance and correlation are...
-
Correlation: From Relationships
The correlation or the calculation of the relationship is another central concept of statistics, in addition to averages, variation, and frequencies....
-
Correlation: From Relationships
Correlation, or the relationship between variables, is another central concept in statistics, along with averages, variation and frequencies. Here we...
-
Analysis of Correlation and Regression
It is quite often that one is interested to quantify the dependence (positive or negative) between two or more random variables. The basic role of...
-
Correlation and Regression
The Pearson Correlation is introduced as a measure of the degree of relationship between two continuous variables. We emphasize to students that one...
-
Correlation and Regression
In previous chapters, we've covered two main areas of inferential statistics: confidence intervals and hypothesis tests. Another important.
-
The Test for Correlation with Metric, Ordinal, and Nominal Data
In Chap. 6, we explored the question of the relationship between two variables, that is, how and whether two variables move together. We examined...
-
Correlation and Regression
The test procedures introduced across the preceding chapters were tailored to testing difference hypotheses. This chapter turns to the complementary...
-
Correlation and Regression
Correlation and regression are the techniques which are used to investigate if there is a relationship between two quantitative variables....
-
On a correlation coefficient based on the L1-norm
The Pearson product-moment correlation coefficient is the most commonly used measure to assess the strength and direction of the linear relationship...
-
The Test for Correlation with Metric, Ordinal, and Nominal Data
In Chap. 6 we explored the question of the relationship between two variables, i.e. how and whether two...
-
-
Influence function-based confidence intervals for the Kendall rank correlation coefficient
Correlation coefficients measure the association between two random variables. In circumstances in which the typically-used Pearson correlation...
-
Correlation and Association
In this chapter presents exact and Monte Carlo permutation statistical methods for measures of linear correlation and association. Also presented in...
-
Dynamic Credit Line Decisions for MSMEs
This paper mainly studies the credit risk of micro, small and medium-sized enterprises, and establishes the financial credit risk evaluation model...
-
Screening for Late-Onset Fetal Growth Restriction in Antepartum Fetal Monitoring Using Deep Forest and SHAP
Fetal growth restriction (FGR) is the second leading cause of perinatal death, of which late-onset fetal growth restriction (LFGR) accounts for...
-
Robust coefficients of correlation or spatial autocorrelation based on implicit weighting
Pearson product-moment correlation coefficient represents a fundamental tool for measuring linear association between two data vectors. In various...
