This repository contains Materials for Non-Parametric Inference
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Updated
Apr 6, 2017 - R
This repository contains Materials for Non-Parametric Inference
Analysis of two variables by nonparametric method
APEXSENSUN is a package in R for performing uncertainty and sensitivity analysis for the APEX model.
Built LDA and QDA models on variables obtained from Principal Component Analysis (PCA) and Kolmogorov-Smirnov (KS) and tuned by leave-one-out cross-validation (LOOCV) to predict fraudulent online advertising click traffic
Samples generations using discrete probability and Kolmogorov-Sirmnov test
Matlab implementation of the improved Peacock algorithm by Yuanhui Xiao.
This repository contains data science tools and methods, and my take and notes on some of them
Enthält statistische Tests auf Gleichverteilung und Monte-Carlo-Simulationen um diese zu vergleichen.
A clinical genomics-guided prioritizing strategy enables accurately selecting proper cancer cell lines for biomedical research
missCompare R package - intuitive missing data imputation framework
Computational predictions of protein attributes associated with COVID-19 using Data Science techniques
Implementing Unif(0,1) Pseudo Random Generators & performing Statistical Tests on them
This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.
An analysis and classification model on Power Outages.
PCTSEA (Proteomics Cell Type Enrichment Analysis) is a tool designed to statistically determine which cell types are significatively enriched in an input set of proteins with certain relative expression values. This process is done by using a database of datasets of RNASeq expression values from single cells from which the cell type is known (or…
Produce ROC, Concordance, KS, Calibration, Lift curve, Lift table for a binary classifier
Code for testing Concept drift techniques on a real word dataset on a hexapod robot
Data Drift Analysis and Anomaly detection tools
Report findings from normality tests such as shapiro.test, ad.test, ols_normality_test.
Como descrever meus dados? Quais testes estatísticos devo usar? Síntese dos testes estatísticos (introdutórios) que podem ser usados em uma análise de dados em saúde.
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