Difference between revisions of "Manuals/calci/FISHER"

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*It is mainly associated with the Pearson Product-Moment Correlation coefficient for bi-variate normal observations.
 
*It is mainly associated with the Pearson Product-Moment Correlation coefficient for bi-variate normal observations.
 
*In <math>FISHER(X)</math>, <math>x</math> is the number which ranges between -1 to +1.  
 
*In <math>FISHER(X)</math>, <math>x</math> is the number which ranges between -1 to +1.  
*The transformation is defined by : <math>z=\frac{1}{2} ln(1+\frac{x}{1-x})= arctanh(x)</math>, where <math>ln</math> is the natural logarithm function and <math>arctanh</math> is the Inverse Hyperbolic function.  
+
*The transformation is defined by : <math>z=\frac{1}{2} ln(1+\frac{x}{1-x})= arctanh(x)</math>
 +
where <math>ln</math> is the natural logarithm function and <math>arctanh</math> is the Inverse Hyperbolic function.  
 
*This function will give the result as error when:
 
*This function will give the result as error when:
 
  1.<math>x</math> is non-numeric
 
  1.<math>x</math> is non-numeric

Revision as of 01:12, 10 December 2013

FISHER(x)


  • is the number.

Description

  • This function gives the value of Fisher Transformation at .
  • Fisher Transformation is used to test the hypothesis of two correlations.
  • It is mainly associated with the Pearson Product-Moment Correlation coefficient for bi-variate normal observations.
  • In , is the number which ranges between -1 to +1.
  • The transformation is defined by :

where is the natural logarithm function and is the Inverse Hyperbolic function.

  • This function will give the result as error when:
1. is non-numeric
2. or  .

Examples

  1. FISHER(0.5642) = 0.6389731838284958
  2. FISHER(0)= 0
  3. FISHER(-0.3278) = -0.3403614004970268
  4. FISHER(1) = Infinity
  5. FISHER(-1) = Infinity

See Also

References

Bessel Function