Introduction to Regression
Introduction to Regression¶ This tutorial proves an overview of linear regression. It illustrates fitting a polynomial to noisy data, including the role of SSE
April 13, 2022
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Decision Support Notebooks, Education
Intro to History Matching and Uncertainty Analysis
These videos were prepared as lectures for the Groundwater Modelling topic of the Groundwater Hydrology course at Flinders University. They aim to introduce history matching
October 5, 2021
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Non-Linear Uncertainty Analysis
In contrast to linear uncertainty analysis, non-linear methods do not suffer from the limitation of assuming a linear relationship between model predictions and model parameters.
May 31, 2021
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Covariance Matrices: The PPCOV Suite
A variance-covariance matrix, often referred to as a covariance matrix, is a square matrix that provides covariances between pairs of elements of a random vector.
May 19, 2021
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Data Worth Analysis
The present tutorial addresses the ability (or otherwise) of yet-ungathered data to reduce the uncertainties of decision-critical predictions using linear analysis utilities from the PEST
May 10, 2021
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Linear Uncertainty Analysis
Linear uncertainty analysis is also known as “first order second moment” (or “FOSM”) analysis. It provides approximate mathematical characterisation of prior predictive probability distributions, and
May 3, 2021
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Calibration – A Simple Model
This is the first in a series of tutorials which demonstrate workflows for parameter estimation and uncertainty analysis with the PEST/PEST++ suites. These are not the only
April 19, 2021
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How Complex Should a Groundwater Model Be?
https://vimeo.com/566929903 by Catherine More and John Doherty Because environmental systems are complex, models must be complex too. Otherwise, how can they simulate the impact of
April 9, 2021
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Uncertainty in Groundwater Modelling 101
https://vimeo.com/548316380 by Catherine Moore and John Doherty We have talked about uncertainty before – in last year’s webinar series. We have been asked to talk
April 9, 2021
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OLPROC: Processing Observations Made Easy
OLPROC is a model dancing partner. Its role is to postprocess model outputs in order to match them with field measurements, as well as to
February 23, 2021
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