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Audit Techniques in Data Analysis by Apam Benjamin is a document available to read on EtoBox.
What is Audit Techniques in Data Analysis about?
The document discusses various quantitative analysis techniques that can be used for auditing and evaluation purposes, including data envelopment analysis, discriminant analysis, expected value analysis, game theory and decision theory, goal programming, linear programming, operations research, probability theory, queuing theory, sensitivity analysis, and systems analysis. It provides brief overviews and examples of how each technique can be applied.
- Author
- Apam Benjamin
- Language
- EN