response-surface-model
There are 8 repositories under response-surface-model topic.
JamesMarshall31/design-of-experiments
A Python Package for intuitive design of experiments with user-friendly analysis of results. The aim is for this package to rival the DOE capabilities of commercial software such as JMP. Currently designs and analysis will be more geared towards investigations following the Response Surface Methodology.
mohammad-miftakhus-sholikin/academic_website
Personal website
oselin/algorithm_development
Implementation, analysis and benchmarking of optimization algorithms. Developed in Python and results showed in Jupyter Notebook
juntyr/prudent-response-surface-models
Prudent Response Surface Models combine predictions with confidence scores and uncertainty levels, allowing their use in downstream analysis even for high-uncertainty or out-of-distribution inputs.
nelsonabadz/Rsm.panel
Response Surface Analysis Interactive Panel
imshakib/Why_Bayesian_priors_are_important
This is a toy problem to show why our choices of Bayesian prior distributions and sample size are important in our knowledge of model response surface
ashishyadav24092000/MultipleLinearRegression_TruckingCompany
Multiple Linear Regression modelling for a sample data trucking.xlsx
JRigh/Design-of-Experiments
Design of Experiments