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  2. Size effect on structural strength - Wikipedia

    en.wikipedia.org/wiki/Size_Effect_on_Structural...

    The statistical size effect occurs for a broad class of brittle structures that follow the weakest-link model. This model means that macro-fracture initiation from one material element, or more precisely one representative volume element (RVE), causes the whole structure to fail, like the failure of one link in a chain (Fig. 1a).

  3. Causal model - Wikipedia

    en.wikipedia.org/wiki/Causal_model

    Judea Pearl defines a causal model as an ordered triple ,, , where U is a set of exogenous variables whose values are determined by factors outside the model; V is a set of endogenous variables whose values are determined by factors within the model; and E is a set of structural equations that express the value of each endogenous variable as a function of the values of the other variables in U ...

  4. Dunning–Kruger effect - Wikipedia

    en.wikipedia.org/wiki/Dunning–Kruger_effect

    Some researchers include a metacognitive component in their definition. In this view, the Dunning–Kruger effect is the thesis that those who are incompetent in a given area tend to be ignorant of their incompetence, i.e., they lack the metacognitive ability to become aware of their incompetence.

  5. Failure mode and effects analysis - Wikipedia

    en.wikipedia.org/wiki/Failure_mode_and_effects...

    An identifier for system level and thereby item complexity. Complexity increases as levels are closer to one. Local effect The failure effect as it applies to the item under analysis. Next higher level effect The failure effect as it applies at the next higher indenture level. End effect The failure effect at the highest indenture level or ...

  6. Mixed-design analysis of variance - Wikipedia

    en.wikipedia.org/wiki/Mixed-design_analysis_of...

    Thus, in a mixed-design ANOVA model, one factor (a fixed effects factor) is a between-subjects variable and the other (a random effects factor) is a within-subjects variable. Thus, overall, the model is a type of mixed-effects model.

  7. One-factor-at-a-time method - Wikipedia

    en.wikipedia.org/wiki/One-factor-at-a-time_method

    The one-factor-at-a-time method, [1] also known as one-variable-at-a-time, OFAT, OF@T, OFaaT, OVAT, OV@T, OVaaT, or monothetic analysis is a method of designing experiments involving the testing of factors, or causes, one at a time instead of multiple factors simultaneously.

  8. Bradford Hill criteria - Wikipedia

    en.wikipedia.org/wiki/Bradford_Hill_criteria

    The more specific an association between a factor and an effect is, the bigger the probability of a causal relationship. [1] Temporality: The effect has to occur after the cause (and if there is an expected delay between the cause and expected effect, then the effect must occur after that delay).

  9. Illustrative model of greenhouse effect on climate change

    en.wikipedia.org/wiki/Illustrative_model_of...

    We now turn to calculating the effect of CO 2 on radiation, using a one-layer model, i.e. we treat the whole troposphere as a single layer: [3] Looking at a particular wavelength λ up to λ+dλ, the whole atmosphere has an optical depth OD, while the tropopause has an optical depth 0.12*OD; the troposphere has an optical depth of 0.88*OD.