Weibull Distribution
Version 1.0.0 · Updated 2026-07-30
CORE DEFINITION
A flexible probability distribution that can model different failure modes such as early failure, random failure, and wear-out failure by adjusting the shape parameter.
SCAFFOLDING EFFECT
Reduce cognitive load
Match failure modes. When analyzing product life or failure, ask "Does failure increase or decrease over time?" and choose appropriate model parameters.
Anchor fast decisions
By adjusting the shape parameter k, different failure patterns can be characterized: k<1 indicates early failure (left segment of the bathtub curve), k=1 indicates random failure (approximately exponential), and k>1 indicates wear-out failure (right segment of the bathtub curve). The scale parameter controls the characteristic life.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- zh.wikipedia.orghttps://zh.wikipedia.org/wiki/%E9%9F%A6%E4%BC%AF%E5%88%86%E5%B8%83verified
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