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A comparative analysis of MCDM methods VIKOR, TOPSIS, ELECTRE and PROMETHEE is presented in the paper in 2007, through the discussion of their distinctive features and their application results. [7] Sayadi et al. extended the VIKOR method for decision making with interval data. [ 8 ]
There are different reasons for performing a round-robin test: determination the reproducibility of a test method or process; verification of a new method of analysis. If a new method of analysis has been developed, a round-robin test involving proven methods would verify whether the new method produces results that agree with the established method.
In statistical quality control, the c-chart is a type of control chart used to monitor "count"-type data, typically total number of nonconformities per unit. [1] It is also occasionally used to monitor the total number of events occurring in a given unit of time.
PERT network chart for a seven-month project with five milestones (10 through 50) and six activities (A through F).. The program evaluation and review technique (PERT) is a statistical tool used in project management, which was designed to analyze and represent the tasks involved in completing a given project.
Beneish M-score is a probabilistic model, so it cannot detect companies that manipulate their earnings with 100% accuracy. Financial institutions were excluded from the sample in Beneish paper when calculating M-score since these institutions make money through different routes.
In compilers, live variable analysis (or simply liveness analysis) is a classic data-flow analysis to calculate the variables that are live at each point in the program. A variable is live at some point if it holds a value that may be needed in the future, or equivalently if its value may be read before the next time the variable is written to.
The software also includes reference interval estimation, [9] meta-analysis and sample size calculations. The first DOS version of MedCalc was released in April 1993 and the first version for Windows was available in November 1996.
In computer science, the analysis of algorithms is the process of finding the computational complexity of algorithms—the amount of time, storage, or other resources needed to execute them. Usually, this involves determining a function that relates the size of an algorithm's input to the number of steps it takes (its time complexity ) or the ...