Accuracy of data-based sensitivity indices

Measuring the Accuracy of Linked Data Indices

Being based on Web technologies, Linked Data is distributed and decentralised in its nature. Hence, for the purpose of finding relevant Linked Data on the Web, search indices play an important role. Also for avoiding network communication overhead and latency, applications rely on indices or caches over Linked Data. These indices and caches are based on local copies of the original data and, th...

Efficient Estimation of Sensitivity Indices

the comparative impact of prompts and recasts in processing instruction versus meaningful output-based instruction on efl learners’ writing accuracy

the purpose of the present study was to see which one of the two instruction-processing instruction (pi) and meaningful output based instruction (mobi) accompanied with prompt and recast- is more effective on efl learners’ writing accuracy. in order to homogenize the participants in term of language proficiency a preliminary english test (pet) was administrated between 74 intermediate students ...

Variance-based sensitivity indices for models with dependent inputs

Computational models are intensively used in engineering for risk analysis or prediction of future outcomes. Uncertainty and sensitivity analyses are of great help in these purposes. Although several methods exist to perform variance-based sensitivity analysis of model output with independent inputs only a few are proposed in the literature in the case of dependent inputs. This is explained by ...

Variance-based sensitivity indices of computer models with dependent inputs: The Fourier Amplitude Sensitivity Test

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