Basic statistical modelling examples.
Sub-package of spatstat containing functionality for parametric modelling and inference
Course materials for "Biostatistics: Case Studies"
Build and Tune Several Models
A Data Science Portfolio for potentially interested employers and recruiters.
The project involves sampling designs and summarizing data, maximum likelihood estimation of parameters, bootstrap, parametric and non-parametric inference, the analysis of variance, linear least squares, categorical data, elements of the decision theory and bayesian inference.
Content of the course "Regression and Statistical Models (52571)" at The Hebrew University of Jerusalem, in the Department of Statistics and Data Science.
Strawberry analysis with three cultivars
Analysis-of-variance time-series analysis based on the method of Schwarzenberg-Czerny (1989)
R programming scripts for statistical data analysis and visualization. Includes data cleaning, descriptive statistics, hypothesis testing (t-tests, ANOVA), correlation, regression modeling, and visualizations using ggplot2 and tidyverse.
Statistical Modeling I
Analysis of Variance project. Analysis of Israel's employment bureaus data in the years 2010-2019 using statistical methods.
Analysis of Variance in R and Python
Using R, performed statistical analysis and data visualization of life expectancies of United States, Canada, and Mexico, using custom plots and data analysis.
A repository created to explore and understand Statistics through coding.
This project is a Pinball designed experiment to determine the effect of different types of ball on the distance in which the ball is thrown. After gathering the data from thrown balls, a hypothesis test was done on the sample mean of each treatment (thrown ball) in a completely randomized design with an alpha around 0.05.
A tool for the analysis of datasets obtained by performing experiments according to a Design of Experiments (DoE) approach.
Tests of the general linear hypothesis in R.
Python-based replication of the data analysis from my master's thesis. Includes preprocessing and statistical modeling (ANOVA, regression) of psychological survey data
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