Generalized Pairwise Comparisons
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Updated
Oct 13, 2024 - R
Generalized Pairwise Comparisons
Compute the Kruskal-Wallis test for equal medians.
Robust robotic localization and mapping, together with NavAbility(TM). Reach out to info@wherewhen.ai for help.
NORTA.jl implements the Normal to Anything (NORTA) concept, leveraging Julia's framework to provide a unique approach that utilizes non-parametric distribution fitting methods, thereby enhancing efficiency by eliminating the need for explicit correlation matrix computations.
Multivariate independent comparison of observations.
Permutation Methods for Non-Probability Data
A Python package for survival analysis. The most flexible survival analysis package available. SurPyval can work with arbitrary combinations of observed, censored, and truncated data. SurPyval can also fit distributions with 'offsets' with ease, for example the three parameter Weibull distribution.
Python function to perform the Scheirer-Ray-Hare Test
Some code related to our paper Per,Duc,Nes. Detection (2019). The objective is to detect block-exchangeable structures in correlation matrices. For any help, please contact me or leave a comment somewhere. I will be glad to help you.
Context based non-parametric solution to the scene parsing problem based on partial correspondence.
Python code for calculating non-parametric morphological diagnostics of galaxy images.
This summary captures the application of statistical techniques on a dataset for accurate insights and inferences. The statistical technique used are Normality tests, non-parametric test, correlation.
Tool for non-parametric curve fitting using local polynomials.
UAP-BEV: Uncertainty Aware Planning in Bird's Eye View Generated from Monocular Images (CASE 2023)
JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python
Multivariate Local Polynomial Regression and Radial Basis Function Regression
Addiscore – An indicator to simplify the choice of prepared meals
Detect oscillatory gene networks from snapshot single-cell data
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