GitHub topics: f-test
yufongpeng/AnovaBase.jl
A simple framework for ANOVA on various types of Julia statistical models
Language: Julia - Size: 1.32 MB - Last synced at: 4 days ago - Pushed at: about 1 year ago - Stars: 19 - Forks: 2
yufongpeng/AnovaFixedEffectModels.jl
Conduct one-way and multi-way anova in Julia with FixedEffectModels.jl
Language: Julia - Size: 73.2 KB - Last synced at: 15 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
Risanaparvin00/spss-projects
This repository contains an SPSS analysis project, performed to derive insights from the data while maintaining confidentiality. The repository includes an SPSS worksheet and a Word file summarizing the results.
Size: 345 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
PatilNi3/TABLES-IN-STATISTICS
In Statistics, various tables used to reference critical values for different distributions and tests.
Size: 596 KB - Last synced at: 23 days ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
nicolascampbell97/pbi_riesgopais
Testeo de modelo de regresión lineal entre el pbi y el riesgo pais argentino 1999-2023. Limpieza y transformación de datos con SQL y Excel. Regresión lineal, Test F y Coeficiente de determinación (R2) con R.
Language: R - Size: 624 KB - Last synced at: 19 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
yufongpeng/AnovaGLM.jl
Conduct one-way and multi-way anova in Julia with GLM.jl
Language: Julia - Size: 52.7 KB - Last synced at: 15 days ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0
mahnoorsheikh16/Estimating-Aggregate-Import-Demand-Function
To test whether the economic theory for imports, real GDP and relative prices holds in real life scenario, this study analyses the extent of association between the variables through regression analysis. The paper can be used to assess the difference in impact of global events on GDP and import volume.
Size: 459 KB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
larenwell/ai-ml-pycaret-beerhub-challenge
This project focuses on the development and evaluation of machine learning models to predict credit card application and crime rate.
Language: Jupyter Notebook - Size: 3.97 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
astonglen/Statistical-Methods-Project
Performed rigorous preprocessing, and data cleaning, and conducted exploratory data analysis to identify trends, patterns, and outliers, leading to valuable insights. Employed various statistical methods concepts to get insights about the data for prediction.
Language: Jupyter Notebook - Size: 3.01 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
nrsharip/test-statistics
Examples of using the test statistics to test hypotheses
Language: Python - Size: 104 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
DerekEgenti/Stats_Comparison_Project
A basic comparison of different statistical methods for data understanding and exploration.
Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
isadays/Supervised-ML
OLS. R and Python. In this project, we study fundamental concepts of Supervised ML models, such as Regression Analysis: Coefficient of Model Adjustment (R²), Parameters Estimation ,Statistical Significance of the Model (F test, T test) ,Multiple Regression , Qualitative Explanatory Variables (X) , heteroscedasticity and etc.
Language: Jupyter Notebook - Size: 2.63 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
tlatkowski/tf-feature-selection
Implementation of various feature selection methods using TensorFlow library.
Language: Python - Size: 33.2 KB - Last synced at: 19 days ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 3
T3kan0/ASIS
ASIS is a web application developed for the compilation of impact report PDF documents for the tutorial programme (A-STEP) at the University of the Free State.
Language: Jupyter Notebook - Size: 2.45 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
T3kan0/auto_tutorial_impact_report_generator
An automated, user-interactive tutorial attendance impact report generator. The code conducts hypothesis testing to compare the student performance with tutorial attendance, and outputs a PDF report.
Language: Jupyter Notebook - Size: 3.24 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
mosama1994/Wine-Quality-Analysis-using-R
Wine dataset statistical analysis using Hypothesis testing (F-test, T-test, ANOVA, ANCOVA). Using machine learning to predict wine quality. Using regularization with 10 fold cross validation to overcome overfitting. Created different visualizations on the dataset.
Language: HTML - Size: 1.42 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
yufongpeng/AnovaMixedModels.jl
Conduct one-way and multi-way anova in Julia with MixedModels.jl
Language: Julia - Size: 94.7 KB - Last synced at: 15 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
raj-shr-git/Statistical_testing_python
This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.
Language: Jupyter Notebook - Size: 84.9 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 8 - Forks: 6
yufongpeng/starplot
Create barplots or boxplots with significant level annotations.
Language: Python - Size: 7.81 KB - Last synced at: 15 days ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0