In statistics, truncation results in values that are limited above or below, resulting in a truncated sample. A random variable y {\displaystyle y} is said to be truncated from below if, for some threshold value c {\displaystyle c} , the exact value of y {\displaystyle y} is known for all cases y > c {\displaystyle y>c} , but unknown for all cases y ≤ c {\displaystyle y\leq c} .
In statistics, truncation results in values that are limited above or below, resulting in a truncated sample. A random variable y {\displaystyle y} is said to be truncated from below if, for some threshold value c {\displaystyle c} , the exact value of y {\displaystyle y} is known for all cases y > c {\displaystyle y>c} , but unknown for all cases y ≤ c {\displaystyle y\leq c} .
Source: Wikipedia "Truncation (statistics)" · CC BY-SA 4.0
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