Decision support systems (DSS) contain decision-modeling routines, such as what-if analysis, whereby users can try particular decisions in simulations before actual implementation.
Anderson David R has written: 'Modeling and Decision Analysis'
Rick Hesse has written: 'Managerial spreadsheet modeling and analysis' -- subject(s): Computer simulation, Management, Electronic spreadsheets, Problem solving 'Decision Making: A Management Science Guide for the IBM-PC (IBM-PC Series: 1-646)'
It depends on what you are trying to model. For most models, there are specialty programs.
Cox Proportional is the most suitable hazard analysis for showing probability in Hazards Modeling.
A Decision Support System (DSS) is a computer-based tool that helps users make decisions using data analysis and modeling techniques. An Expert System is a computer program that mimics the decision-making abilities of a human expert in a particular field. Expert systems rely on rule-based reasoning and knowledge representation to provide solutions to specific problems.
John Malanchuk has written: 'Efficient algorithms for solving systems of ordinary differential equations for ecosystems modeling' -- subject(s): Computer programs, Differential equations, Numerical analysis, Ecology, System analysis, Numerical solutions
Value at Risk is a term used in financial modeling and risk analysis. VaR describes the maximum loss not exceeded within a specified confidence limit. There's much more information and an Excel spreadsheet at the related link below
Data analysis is a process of gathering, modeling, and transforming data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.
ask Dr. Herring
The basic objectives of operations research include optimizing decision-making processes, improving efficiency and effectiveness in operations, and finding solutions to complex problems through mathematical modeling and analysis. Its main goal is to help organizations make better decisions and improve overall performance.
The evaluation of financial data may be performed through ratio analysis, trend evaluation, and financial planning modeling. Financial planning and forecasting are facilitated if used in conjunction with a Decision Support System (DSS).