bugPSPP - Bugs: bug #19143, Statistical procedure wishlist


bug #19143: Statistical procedure wishlist

Submitter:  Ben Pfaff <blp>
Submitted:  Sun 25 Feb 2007 04:26:04 AM UTC
Category:  None Severity:  1 - Wishlist
Status:  None Assigned to:  None
Open/Closed:  Open Release:  Future
Effort:  0.00
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Thu 27 May 2010 03:27:09 AM UTC, comment #2: 

Fredrik Clementz <fredrik.clementz@reflect.se> asked for the TWOSTEP CLUSTER procedure via email.

Ben Pfaff <blp>
Group administrator
Fri 27 Mar 2009 08:48:46 AM UTC, comment #1: 

My recommendation for statistical procedures to be implemented is (I am teaching at the university and working in public opinion research institute):
- correlation analysis,
- factor analysis,
- clustering (especially hierarchical clustering and drawing dendrograms),
- principal component analysis.

Sun 25 Feb 2007 04:26:04 AM UTC, original submission:  

This is Jason Stover's list of desirable statistical procedures from a few years ago.  In his words:

The list is roughly in order of demand, with the most in-demand listed first (in my opinion). Those not in SPSS or SAS are marked with (*) (my knowledge of these is a few years old; SPSS Inc. or SAS Inc. may have since put these into their flagship programs)

  1. Generalized linear models, including logistic regression.

  1. Time series models, including ARMA and ARIMA.

  1. Linear models with other-than-diagonal error covariance matrices.

(These are referred to as 'linear mixed models', though I think is a misleading term.)

  1. Clustering and discriminant analysis

  1. (*)Neural networks, including multilayer perceptrons and radial-basis functions

  1. (*)Classification and regression trees.

  1. Spline smoothers

  1. Design of experiment

In addition, NO statistical software I know of has a nice way to combine different models (via boosting or other other recently-developed 'data mining' methods).  If PSPP did this with a semi-painless interface for 'users', it could make PSPP much more popular among the 'user' category.  Most people in that 'user' category are dimly aware of the usefulness of this approach to modeling, but they are learning about it, and will want it in their statistical software.

Ben Pfaff <blp>
Group administrator


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    Date Changed by Updated Field Previous Value => Replaced by
    2011-05-14 blp ReleasePost-0.6.0 Future
    2007-07-25 blp ReleaseNone Post-0.6.0

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