"DTIC ADA497511: Simulation Validation Using A Non-Parametric Statistical Method" - Information and Links:

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"DTIC ADA497511: Simulation Validation Using A Non-Parametric Statistical Method" and the language of the book is English.


“DTIC ADA497511: Simulation Validation Using A Non-Parametric Statistical Method” Metadata:

  • Title: ➤  DTIC ADA497511: Simulation Validation Using A Non-Parametric Statistical Method
  • Author: ➤  
  • Language: English

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  • Internet Archive ID: DTIC_ADA497511

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"DTIC ADA497511: Simulation Validation Using A Non-Parametric Statistical Method" Description:

The Internet Archive:

A primary advantage to using modeling and simulation (M&S) in a test program is it can often answer test measures that, if answered using real-world data, would require unrealistically expensive, time-consuming, or complex test events. Simulation outputs, though, are only as good as the underlying assumptions and models built into the simulation. For even moderately complex simulations, it is not easy to predict the quality of simulation results based purely on the logic that if component models, theoretical component interactions, and simulation inputs are valid, then the simulation results will be as valid as the results of a real-world test event under the same conditions. Direct comparison of simulation results to real-world test data is often conducted as part of a simulation validation effort. The analyst is faced with a difficult question: has enough data been collected under these conditions to be considered a statistically significant sample for comparison with the simulation?

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"DTIC ADA497511: Simulation Validation Using A Non-Parametric Statistical Method" is available for download from The Internet Archive in "texts" format, the size of the file-s is: 50.76 Mbs, and the file-s went public at Sat Jul 21 2018.

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  • Source: Internet Archive
  • Internet Archive Link: Archive.org page
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  • Number of Files: 16
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  • Added Date: 2018-07-21 11:58:20
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