I don't recall seeing the Pearson-Fisher names associated in this way; 
however, beta2=mu4/(mu2)^2 is one of the two parameters defining the 
Pearson curves and this could account for its ascription to him. Fisher 
discussed cumulants quit a bit, and since k4/k2^2=beta2-3, this may 
account for that ascription.

Karl L. Wuensch wrote:
>     B2, the expected value of the distribution of Z scores which have 
> been raised to the 4th power, which has a value of 3 for a normal 
> distribution, is often referred to as "Pearson kurtosis."  Subtract 3 
> from this quantity and you get a parameter which is often referred to as 
> "Fisher kurtosis."  For example, at 
> http://www2.chass.ncsu.edu/garson/pa765/assumpt.htm, you can find the 
> following:
>  
> Kurtosis is the peakedness of a distribution. A common rule-of-thumb 
> test for normality is to run descriptive statistics to get skewness and 
> kurtosis, then divide these by the standard errors. Kurtosis also should 
> be within the +2 to -2 range when the data are normally distributed (a 
> few authors use +3 to -3). Negative kurtosis indicates too many cases in 
> the tails of the distribution. Positive kurtosis indicates too few cases 
> in the tails. Note that the origin in computing kurtosis is 3 and a few 
> statistical packages center on 3, but the foregoing discussion assumes 
> that 3 has been subtracted to center on 0, as is done in SPSS and 
> LISREL. The version with the normal distribution centered at 0 is Fisher 
> kurtosis, while the version centered at 3 is Pearson kurtosis. SPSS uses 
> Fisher kurtosis. Various transformations 
> <http://www2.chass.ncsu.edu/garson/pa765/assumpt.htm#transforms> are 
> used to correct kurtosis: cube roots and sine transforms may correct 
> negative kurtosis.
>  
>     Now I happen to think that this statement is dead wrong in 
> associating negative kurtosis with "too many cases in the tails" and 
> positive kurtosis with "too few cases in the tails," but I am not 
> looking to start an extended discussion of what the "tails" of a 
> distribution really are.
>  
>     My query to this group is:  Why is B2 called Person kurtosis and (B2 
> - 3) called Fisher kurtosis?  Recently I read Pearson, K. (1905). Das 
> Fehlergesetz und seine Verallgemeinerungen durch Fechner und Pearson. A 
> Rejoinder. Biometrika, 4, 169-212, and in that interesting article 
> Pearson defined kurtosis as (B2 - 3).
>  
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Karl L. Wuensch, Department of Psychology,
> East Carolina University, Greenville NC  27858-4353
> Voice:  252-328-4102     Fax:  252-328-6283
> [EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>
> http://core.ecu.edu/psyc/wuenschk/klw.htm
>  


-- 
Bob Wheeler --- http://www.bobwheeler.com/
         ECHIP, Inc. ---
Randomness comes in bunches.

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