• Overview of these pages
  • PEST and PEST++
  • The PEST suite
• Decision-support modelling
  • Environmental simulation
  • Metrics
  • Uncertainty
  • Understanding the problem
  • Problem decomposition
• Model calibration
  • Regularisation
  • Manual regularisation
  • Highly parameterised inversion
  • Subspace methods
  • Tikhonov regularisation
  • Why calibrate?
• Dancing with models
  • PEST-model communication
  • Model run parallelisation
• PEST control file
  • Structure of PEST control file
  • Some PEST functionality
  • Other PEST-type programs
  • Creating a PEST control file
  • Modifying a PEST control file
  • Some control variables
• Parameters
  • Parameter specifications
  • Sensitivities
  • Prior information
  • Parameter preprocessing
  • Super-parameters
• Observations
  • The objective function
  • Observation specifications
  • The need for creativity
  • Utility support
• Linear analysis
  • Jacobian matrix
  • Parameter uncertainty
  • Predictive uncertainty
  • Error and uncertainty
  • Other analyses
• Working with MODFLOW
  • GIS and visualisation
  • Parameterisation
  • Observations
  • Particles
• Pilot points
  • Concepts
  • Implementation
  • PLPROC
  • Pilot point emplacement
  • Pilot point regularisation
• Random parameters
  • Generating random numbers
  • Repeated model runs
  • Model run postprocessing
• Nonlinear uncertainty analysis
  • PEST's predictive analyser
  • PESTPP-IES
  • Pseudo-linear methods
  • Predictive hypothesis-testing
  • Data space inversion