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Developer's Description

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. 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.

Full Specifications

What's new in version 2.0.2

  • Adds a new and original algorithm for self-detection of interactions between two or more input variables and for speed improvements of sensitivity analysis.
  • Maintenance and minor bug fixes

General

Release July 15, 2018
Date Added July 15, 2018
Version 2.0.2

Operating Systems

Operating Systems Mac OS X 10.11, Macintosh, macOS 10.12, Mac OS X 10.10, macOS 10.13
Additional Requirements
  • macOS High Sierra
  • macOS Sierra
  • OS X El Capitan
  • OS X Yosemite
  • Microsoft Excel 2011 or newer

Popularity

Total Downloads 30
Downloads Last Week 0
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