f-test
There are 0 repository under f-test topic.
jlolivaresp / Tesis
Data driven fault detection in chemical processes: Application to Tennessee Eastman Plant
Language:Python 28yufongpeng / AnovaBase.jl
A simple framework for ANOVA on various types of Julia statistical models
Language:Julia 20raj-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 10tlatkowski / tf-feature-selection
Implementation of various feature selection methods using TensorFlow library.
Language:Python 9Conduct one-way and multi-way anova in Julia with GLM.jl
Language:Julia 4mahajanaman / Health-Insurance-Analytics
Making use of R programming, the analysis is focussed on the problem which insurance providers are facing today to define their target market and plan their sale strategies which helps them increase their market share and thereby, maximize their profitability. The analysis techniques used in the project are learnt through Data Analysis and Decision Making course at Rutgers University.
nrsharip / test-statistics
Examples of using the test statistics to test hypotheses
Language:Python 2Conduct one-way and multi-way anova in Julia with FixedEffectModels.jl
Language:Julia 2astonglen / 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 1kritika11-eng / Multivariate-Linear-Regression-Model-Development-for-a-construction-project-
Performed graphical and numerical EDA, correlation and residual error analysis, log normalization
Language:Jupyter Notebook 1T3kan0 / 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 1An 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 1amlan28 / R-Programming
Implementation of some r programs using R studio.
r-programmingmt-cars-datasetairquality-datasetmerge-dataframesr-graphsexport-datamatrix-dataframesfrequency-of-each-digitbinary-number-to-decimal-numberpyramid-with-an-asteriskpattern-like-a-diamondproduct-of-digitspower-of-number-for-loopn-terms-of-fibonacci-seriesbinomial-distributionf-testz-testbinomial-distributionschi-square-testapplied-statisticsLanguage:R 0Anish-Sarkar-1001 / f-test-heasoft-xspec
f test for generated fake spectra for xspec, heasoft
Language:Shell 0ArpitaShrivas001 / Credit_Balance_Analysis
Executed Regression modelling, hypothesis testing and statistical analysis to predict factors affecting credit card balances in a firm. Tools & technologies: ANOVA, p-value, R square
0DerekEgenti / Stats_Comparison_Project
A basic comparison of different statistical methods for data understanding and exploration.
Language:Jupyter Notebook 0isadays / 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 0mosama1994 / 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 0SunJZ2021 / 2011-UK-healthcare-performance
Assessment of UK healthcare performance in 2011 compared to healthcare in other OECD Countries: University of Sheffield, MAS223 Practical 4 code and files
Language:R 0Research on the reasons for GDP per Capita growth in China
Language:R 0Conduct one-way and multi-way anova in Julia with MixedModels.jl
Language:Julia 0Create barplots or boxplots with significant level annotations.
Language:Python 0OGCJN / Tail-approximations-for-the-Student-t--F--and-Welch-statistics
We present a detailed study of the asymptotic behavior of the distribution of the tails of these, perhaps, most commonly used statistical tests under non-standard conditions, that is, releasing the underlying assumptions of normality, independence and identical distribution and considering a more general case where one only assumes that the vector of data has a continuous joint density.
Language:Mathematica