This package provides the tools to enumerate and characterize regular mixed-level designs (with four and two-level factors).

Project developed during a MaratonaDev 3.0 - Rocketseat

This Design of Experiments (DOE) study for SCM 517 optimizes a Lego race car’s performance by analyzing the impact of tire size, windscreen size, axle length, and car slant. Using Minitab, factorial design, and statistical analysis, the project identifies the optimal configuration for maximizing travel distance.

A library for designed experiment

automizes your doe simulations or experiments

A Designed Experiment to Optimize LEGO Race Car Performance by analyzing key factors like wheelbase, tires, and weight distribution. Includes detailed DOE analysis, cost-effectiveness insights, and visualizations for maximizing distance on a ramp.

Two Way Independent ANOVA

Catalog of mixed four-and-two-level regular designs

Java DOE Regression Package to generate the Equation of the Experiments

A/B Testing from Scratch

Space filling designs for python

Design and analysis of an experiment on coffee acidity

Trabalho de Delineamento de Experimentos

Java DOE OFAT Analyzer

MATLAB app that can plot the design space and results of a experiment in up to five dimensions (x, y, z, colour and dot size).

O DOE e um sistema web para cadastro de doadores de sangue.

Optimization framework library fully written in C++

Projeto desenvolvido na semana NLW

This is a story about statistics, experiments and tests.