Modeling Random Processes for Engineers and Managers

Numerous case studies and examples involving realistic applications that demonstrate versatility of the tools and help ease learning                       

Gives students access to standard knowledge in elementary stochastic processes but supplements with more, including spreadsheet calculations and less conventional material

Unique approach to computation:  relates computational solutions to visually recognizable subgraphs of the transition diagram; equally suitable for either numerical or symbolic solutions