GitHub topics: kendall-correlation-coefficient
MikeJaredS/hermiter
Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric Correlation (Bivariate)
Language: R - Size: 8.82 MB - Last synced at: 17 days ago - Pushed at: 8 months ago - Stars: 16 - Forks: 3
jhaayush2004/Understanding_Correlations
"Explore and understand various correlation measures such as Pearson, Spearman, and Kendall through detailed explanations, mathematical derivations, and practical examples.
Size: 5.25 MB - Last synced at: 26 days ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
atharvaaalok/EWS-MultipleWindow-Method
Research on developing a new method for determining the warning time of Early Warning Signals. Also an attempt at removing window size uncertainty from EWS analysis
Language: MATLAB - Size: 7.02 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0
fauzancodes/statistic-calculator
calculate root mean square, variance, standard deviation, skewness, percentile covariance, pearson product-moment correlation coefficient, spearman correlation coefficient, kendall correlation coefficient, determination coefficient, slope, equation and plot of linear and polynomial regression degree 2 and 3 in various way using python library math, statistics, numpy, scipy and scikit-learn
Language: Python - Size: 38.1 KB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
