R Package for Bootstrap Unit Root Tests
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Updated
Jun 26, 2026 - R
R Package for Bootstrap Unit Root Tests
Strategies for analyzing the distribution of datasets, switching the data towards a normal distribution testing different manual transformations and Box-Cox transformation.
Grubbs' test for outliers.
'R6'-Based Flexible Framework for Permutation Tests
Comprehensive statistical testing analysis with ecommerce data.
Examples of generating random variables from the basic probability distributions
Randomization Tests for Conditional Group Symmetry
Aider une entreprise agro-alimentaire de réaliser une étude de marché international pour mieux cibler ses nouveaux pays clientèle.
This is a project about analyzing tuberculosis data from 1990 to 2013 using Tableau.
Moving Grubbs' test for outliers.
Testing hypothesis and building Confidence Intervals
This is the first exercise in the data science course at Shahid Beheshti University. In this exercise, we will analyze and review data as well as statistical tests.
This is the first exercise in the data science course at Shahid Beheshti University. In this exercise, we will analyze and review data as well as statistical tests.
a spark extensions to help analyze abtest experiments based on raw data
Two-Dimensional Data Whitening and Receiver Operational Characteristic Determination
A hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine whether there is any diff…
Matéria de Análise Estatística de Dados da pós-graduação em Ciência de Dados e Machine Learning
Deep statistical dive into Fibonacci retracement trading — testing every level independently, checking window sensitivity, and finding that the "golden ratio" itself isn't uniquely special: the edge comes from a broader support-rejection mechanism.
Dependency-free JavaScript statistics engine (t-tests, ANOVA, Welch, Kruskal–Wallis, Friedman, post-hocs) verified against SciPy, plus a teaching app that shows how the test gets chosen.
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