Rekodi ya ushahidi wa mbinu

Global Sensitivity Analysis

Global sensitivity analysis (GSA) is a family of techniques that decompose the variance of a model's output across its input parameters, quantifying how much each input — and each combination of inputs — contributes to the total uncertainty in the result. Sobol's variance-based indices (2001), Morris's one-at-a-time (OAT) screening (1991), and the Fourier Amplitude Sensitivity Test (FAST, first proposed by Cukier et al. in 1973) are the three most widely used approaches. Together they serve as the standard toolkit for identifying which parameters drive model behaviour and which can be safely fixed.

Sources recorded, not reviewed

Rekodi ya chanzo

Nukuu zimehamishwa kwa uhalisi kutoka kwa rekodi ya chanzo cha mbinu. Hakuna uthibitisho wa kiwango cha dai unaodokezwa kutoka kwao.

Global Sensitivity Analysis (Sobol, Morris, FAST)

Rekodi ya mbinu ya kiajenda · process-pipeline / simulation

Fungua mbinu kamili

Madai yaliyotunzwa

Madai yamehifadhiwa katika daftari la ushahidi, kila moja ikiwa na tathmini yake.

Hakuna madai yaliyotunzwa bado

Mwonekano huu haubuni tathmini ya dai wakati daftari haina yoyote.

Mbinu zinazohusiana

Zilizotengenezwa kutoka kwa grafu ya mbinu na kuonyeshwa kama uhusiano uliopendekezwa na mashine — hakuna dai la ushahidi linalodokezwa.

Same method familyDesign of experimentsmachine-suggested · Relational suggestion, not evidence.Same method familyLatin Hypercube Samplingmachine-suggested · Relational suggestion, not evidence.See alsoMONTE-CARLO-SIMULATIONmachine-suggested · Relational suggestion, not evidence.Same method familyUncertainty Quantificationmachine-suggested · Relational suggestion, not evidence.