Ockham is an innovative app for performing rigorous sensitivity analyses for a high number of parameters of a mathematical model. Sensitivity analysis is a crucially important tool for assessing and validating complex process models and to identify the most important drivers in these models. Ockham reads input and output data representing a mathematical model in an open Excel worksheet to perform a global sensitivity analysis of the model. Its new and original approach to global sensitivity analysis considers both single parameters and interactions between model parameters as a more complete, more accurate, and safer assessment of uncertainty than ‘one-factor-at-a-time’ approaches used in other software. Ockham is based on self-organizing analysis concepts, and it is designed to be a valuable tool in academic research and for private users, primarily. It allows without special knowledge in sensitivity analysis to identify most important drivers of models most objectively and easily from a small set of observational data.
Features
High degree of automation by implementation of original self-organizing modeling concepts proven by our other products for many years
Based on the theory of variance-based global sensitivity analysis (Sobol indices)
Determines the influence of not only single parameters but also their interactions.
Simple, one-click communication with Excel to read data and to report analysis results back to Excel or other apps
What's new in version 2.0.2
Ockham is an innovative app for performing rigorous sensitivity analyses for a high number of parameters of a mathematical model. Sensitivity analysis is a crucially important tool for assessing and v
Ockham is an innovative app for performing rigorous sensitivity analyses for a high number of parameters of a mathematical model. Sensitivity analysis is a crucially important tool for assessing and validating complex process models and to identify the most important drivers in these models. Ockham reads input and output data representing a mathematical model in an open Excel worksheet to perform a global sensitivity analysis of the model. Its new and original approach to global sensitivity analysis considers both single parameters and interactions between model parameters as a more complete, more accurate, and safer assessment of uncertainty than 'one-factor-at-a-time' approaches used in other software. Ockham is based on self-organizing analysis concepts, and it is designed to be a valuable tool in academic research and for private users, primarily. It allows without special knowledge in sensitivity analysis to identify most important drivers of models most objectively and easily from a small set of observational data.
Features
High degree of automation by implementation of original self-organizing modeling concepts proven by our other products for many years
Based on the theory of variance-based global sensitivity analysis (Sobol indices)
Determines the influence of not only single parameters but also their interactions.
Simple, one-click communication with Excel to read data and to report analysis results back to Excel or other apps