Can someone point me towards how to create continuous distributions with specified skew and kurtosis? Or, how to transform a normal distribution to have a specified skew and kurtosis?
Thanks, Gene Maguin ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
If you pick a distribution family, you
can look up the skewness and kurtosis formulas on Wikipedia to figure out
what the distribution parameters would be. Then you can generate
these with the appropriate RV.* transformation function in an Input Program
or use the Make Data with Cases custom dialog on the SPSS Community site.
Jon Peck (no "h") aka Kim Senior Software Engineer, IBM [hidden email] new phone: 720-342-5621 From: "Maguin, Eugene" <[hidden email]> To: [hidden email] Date: 08/21/2012 08:11 AM Subject: [SPSSX-L] creating non-normal distributions Sent by: "SPSSX(r) Discussion" <[hidden email]> Can someone point me towards how to create continuous distributions with specified skew and kurtosis? Or, how to transform a normal distribution to have a specified skew and kurtosis? Thanks, Gene Maguin ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
Jon, you sent this last week and I don’t understand what you are telling me. I know how to generate a normal distribution using rv.normal(m, sd). And power transformations will alter the skew and kurtosis. Is this what you meant? Something more/different? Or, is there a family of distributions, of which the normal distribution is the one for which skew and kurtosis=0, while others can take on specified values for skew and kurtosis? Thanks, Gene Maguin From: Jon K Peck [mailto:[hidden email]] If you pick a distribution family, you can look up the skewness and kurtosis formulas on Wikipedia to figure out what the distribution parameters would be. Then you can generate these with the appropriate RV.* transformation function in an Input Program or use the Make Data with Cases custom dialog on the SPSS Community site.
|
Suppose you first pick a distribution family,
say, lognormal, LN(mu, sigma2).
The mean is e**(mu+sigma2/2), and the variance is (e**sigma2 - 1) * e**(2*mu + sigma2) The skewness is (e**sigma2 +2) * sqrt(e**sigma2-1). kurtosis is another function of sigma2. So given mu and sigma2 and a lognormal distribution, you know the first four moments. Then you can pick a sigma2 that will give you the desired skewness or kurtosis. For a lognormal, both depend just on sigma2, so you can set one or the other but not both. If you have picked a sigma2, then you can just generate lognormal random numbers using RV.LNORMAL(somemu, sigma2). I'm presuming that you might have a preference for some particular distribution family. A squared normal would be chi-squared(k), and the skewness is sqrt(8/k). Kurtosis is 12/k. Again pick one, choose k, and generate via RV.CHISQ(k). Or pick another suitable distribution and solve for the desired moments in terms of the distribution parameters. HTH, Jon Peck (no "h") aka Kim Senior Software Engineer, IBM [hidden email] new phone: 720-342-5621 From: "Maguin, Eugene" <[hidden email]> To: [hidden email] Date: 08/28/2012 03:12 PM Subject: Re: [SPSSX-L] creating non-normal distributions Sent by: "SPSSX(r) Discussion" <[hidden email]> Jon, you sent this last week and I don’t understand what you are telling me. I know how to generate a normal distribution using rv.normal(m, sd). And power transformations will alter the skew and kurtosis. Is this what you meant? Something more/different? Or, is there a family of distributions, of which the normal distribution is the one for which skew and kurtosis=0, while others can take on specified values for skew and kurtosis? Thanks, Gene Maguin From: Jon K Peck [mailto:peck@...] Sent: Tuesday, August 21, 2012 10:23 AM To: Maguin, Eugene Cc: [hidden email] Subject: Re: [SPSSX-L] creating non-normal distributions If you pick a distribution family, you can look up the skewness and kurtosis formulas on Wikipedia to figure out what the distribution parameters would be. Then you can generate these with the appropriate RV.* transformation function in an Input Program or use the Make Data with Cases custom dialog on the SPSS Community site. Jon Peck (no "h") aka Kim Senior Software Engineer, IBM peck@... new phone: 720-342-5621 From: "Maguin, Eugene" <emaguin@...> To: [hidden email] Date: 08/21/2012 08:11 AM Subject: [SPSSX-L] creating non-normal distributions Sent by: "SPSSX(r) Discussion" <[hidden email]> Can someone point me towards how to create continuous distributions with specified skew and kurtosis? Or, how to transform a normal distribution to have a specified skew and kurtosis? Thanks, Gene Maguin ===================== To manage your subscription to SPSSX-L, send a message to LISTSERV@... (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
Free forum by Nabble | Edit this page |