A simple, vectorized implementation of the two-sample Kolmogorov-Smirnov test in PyTorch.
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Updated
Mar 15, 2023 - Python
A simple, vectorized implementation of the two-sample Kolmogorov-Smirnov test in PyTorch.
R framework for a Unified Dispersal Kernel Analysis
Gradational Gaussian Distribution
Ronald Fisher accused Mendel, the founder of genetics, of altering his data. Is there evidence to suggest that Mendel really may have fudged his numbers?
Solutions for the basic statictics problems
Program to identify more reliable product using CDF
Topics: Normal distribution, Functions of Random Variables
📈 📉 Sql Server Normal Distribution, Gauss or Bell Curve and Cumulative normal distribution
TIme-Series on Stocks Datasets
Assignment Advance Stats
A Prototype For Fitting Monotonic Cubic Splines to a Tdigest Sketch
cdflib in WebAssembly. Compute cumulative distribution functions, inverses, and parameters of statistical distributions
A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.
Repeatable pseudo-random sampling, CDF over most known probability distributions.
Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric Correlation (Bivariate)
A repository for the 'concurve' R package which generates confidence distributions and likelihood functions. Includes documentation on how to do produce similar graphs for Stata.
distfit is a python library for probability density fitting.
Conformal classifiers, regressors and predictive systems
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