response-surface-model

There are 2 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.

  experimental-designexperiments-analyticspythonuser-friendly-analysisresponse-surface-modelstatistics
  Language:Python 19

• mohammad-miftakhus-sholikin / academic_website

  Personal website

  artificial-neural-networkjekyllmachine-learning-algorithmsmeta-analysisprincipal-component-analysispythonrresponse-surface-modelrubystatic-site-generator
  Language:JavaScript 2

• oselin / algorithm_development

  Implementation, analysis and benchmarking of optimization algorithms. Developed in Python and results showed in Jupyter Notebook

  bayesian-optimizationbenchmarkbfgslatin-hypercube-samplingnelder-mead-algorithmparticle-swarm-optimizationresponse-surface-modelsobol-sampling
  Language:Jupyter Notebook 2

• nelsonabadz / Rsm.panel

  Response Surface Analysis Interactive Panel

  rresponse-surface-methodologyresponse-surface-modelshinydashboard
  Language:R 1

• 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

  bayesian-statisticsprior-distributionresponse-surface-model
  Language:R 0

• AndrMenezes / rsm2019

  Discussion of Response Surface Methodology

  response-surface-model
  Language:R

• ashishyadav24092000 / MultipleLinearRegression_TruckingCompany

  Multiple Linear Regression modelling for a sample data trucking.xlsx

  linear-regressionmultiple-linear-regressionscatter-plotstatsmodelsols-regressionresponse-surface-model
  Language:Jupyter Notebook

• JRigh / Design-of-Experiments

  Design of Experiments

  design-of-experimentspython3rresponse-surface-modelstatistical-modeling
  Language: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.

  machine-learningout-of-distributionresponse-surface-modelsosaauncertainty-quantification
  Language:Jupyter Notebook