Greetings,
 
There seems to be a problem in the code for the ordered logit/probit model in GRETL.
I'm getting different predictions in GRETL and R. It's possible that there is some
bug in the code. 
 
Regards,
Hamaad Musharaf Shah,
Senior Associate Consultant,
A. F. Ferguson & Co. Chartered Accountants (PricewaterhouseCoopers).
 
 From: gretl-devel-request(a)lists.wfu.edu
 Subject: Gretl-devel Digest, Vol 32, Issue 9
 To: gretl-devel(a)lists.wfu.edu
 Date: Sun, 13 Sep 2009 20:05:18 -0400
 
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 Today's Topics:
 
 1. Bug in Exponential Smoothing (peter)
 
 
 ----------------------------------------------------------------------
 
 Message: 1
 Date: Sun, 13 Sep 2009 18:07:17 -0600
 From: peter <peter(a)tomatoad.com>
 Subject: [Gretl-devel] Bug in Exponential Smoothing
 To: Gretl development <gretl-devel(a)lists.wfu.edu>
 Message-ID: <4AAD8935.8040908(a)tomatoad.com>
 Content-Type: text/plain; charset="iso-8859-1"
 
 Hello Devs,
 
 I believe there is a bug in the Exponential Smoothing code. Using the 
 example from Makridakis, Wheelwright, Hyndman, "Forecasting Methods and 
 Applications," 3e, table 4-3 on page 151, we should get,
 
 When running the same in GRETL using
 
 for each series, we get
 
 When displayed we get,
 
 To get the same MSE as Makridakis we need,
 
 ? printf "MSE for SES1 is: %9.3f\n", sum((ship-ses1(-1))^2)/10
 MSE for SES1 is: 3438.332
 ? printf "MSE for SES2 is: %9.3f\n", sum((ship-ses2(-1))^2)/10
 MSE for SES2 is: 4347.237
 ? printf "MSE for SES3 is: %9.3f\n", sum((ship-ses3(-1))^2)/10
 MSE for SES3 is: 5039.368
 
 The calculated EMAs are correct, but need to be lagged.
 
 Which provides a graph that matches their figure 4-7
 
 --Peter
 
 
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