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(1) <math> \int_{-\infty}^\infty \,f(x)\,dx = 1. </math>  i.e., finitely convergent (to unity by convention).
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(1) <math> f(x) \geq 0 </math>  <math> \forall x </math>  inside the domain of support.
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(2) <math> \int_{-\infty}^a \,f(x)\,dx \leq \int_{-\infty}^b \,f(x)\,dx </math>  for a<b,  i.e., is non-decreasing
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(2) <math> \int_{-\infty}^\infty \,f(x)\,dx = 1. </math>  i.e., finitely convergent (to unity by convention).
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(3) <math> \int_{-\infty}^a \,f(x)\,dx \leq \int_{-\infty}^b \,f(x)\,dx </math>  for a<b,  i.e., is non-decreasing
       
Such a function leads to the definition of an associated [[cumulative distribution function]].
 
Such a function leads to the definition of an associated [[cumulative distribution function]].
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If the [[domain]] of the variable is [[finite]], then the infinite limits on the above integrals would be replaced by those bounds, and a third requirement would be:
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If the [[domain]] of the variable is [[finite]], then the infinite limits on the above integrals would be replaced by those bounds, and a fourth requirement would be:
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(3) <math> f(x) = 0 </math>  <math> \forall x </math>  outside the finite domain of support.
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(4) <math> f(x) = 0 </math>  <math> \forall x </math>  outside the finite domain of support.
       
[[Category:mathematics]]
 
[[Category:mathematics]]
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