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How do you compare parametric and non-parametric analysis? - Answers

In parametric analysis the underlying distributions of the variables are described by parameters. These may be known or it may be possible to estimate them from the observed data. In non-parametric analyses, the parameters are not used - either because they cannot be derived or because the tests do not require them.



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How do you compare parametric and non-parametric analysis? - Answers

https://math.answers.com/math-and-arithmetic/How_do_you_compare_parametric_and_non-parametric_analysis

In parametric analysis the underlying distributions of the variables are described by parameters. These may be known or it may be possible to estimate them from the observed data. In non-parametric analyses, the parameters are not used - either because they cannot be derived or because the tests do not require them.



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https://math.answers.com/math-and-arithmetic/How_do_you_compare_parametric_and_non-parametric_analysis

How do you compare parametric and non-parametric analysis? - Answers

In parametric analysis the underlying distributions of the variables are described by parameters. These may be known or it may be possible to estimate them from the observed data. In non-parametric analyses, the parameters are not used - either because they cannot be derived or because the tests do not require them.

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      In parametric analysis the underlying distributions of the variables are described by parameters. These may be known or it may be possible to estimate them from the observed data. In non-parametric analyses, the parameters are not used - either because they cannot be derived or because the tests do not require them.

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