Newsgroups: comp.ai.neural-nets
Path: cantaloupe.srv.cs.cmu.edu!das-news2.harvard.edu!news2.near.net!howland.reston.ans.net!gatech!concert!sas!mozart.unx.sas.com!saswss
From: saswss@hotellng.unx.sas.com (Warren Sarle)
Subject: Re: Training sets
Originator: saswss@hotellng.unx.sas.com
Sender: news@unx.sas.com (Noter of Newsworthy Events)
Message-ID: <D0o0pD.IK2@unx.sas.com>
Date: Sun, 11 Dec 1994 21:22:25 GMT
References:  <165@leopold.win-uk.net>
Nntp-Posting-Host: hotellng.unx.sas.com
Organization: SAS Institute Inc.
Lines: 34


In article <165@leopold.win-uk.net>, icressw@leopold.win-uk.net (Dr Ian Cresswell) writes:
|> ...
|> Net specification seems to be a 'mystical art' ... some good
|> experimetation may help IMHO.
|>
|> Any ideas?

Take a class in nonlinear statistical models or read some of these books:

   Bates, D.M. and Watts, D.G. (1988) Nonlinear Regression Analysis &
   Its Applications, Wiley: NY.

   Borowiak, D.S. (1989) Model Discrimination for Nonlinear Regression
   Models, Marcel-Dekker: NY.

   Cramer, J. S. (1986) Econometric Applications of Maximum Likelihood
   Methods, Cambridge University Press: Cambridge.

   Edwards, A.W.F (1972) Likelihood, Cambridge Univ Press: Cambridge.

   Gallant, A.R. (1987) Nonlinear Statistical Models, Wiley: NY.

   McCullagh, P. and Nelder, J.A. (1989) Generalized Linear Models,
   2nd ed., Chapman & Hall: London.

   Ross, G.J.S. (1990) Nonlinear Estimation, Springer-Verlag: NY.

   Seber, G.A.F and Wild, C.J. (1989) Nonlinear Regression, Wiley: NY.
-- 

Warren S. Sarle       SAS Institute Inc.   The opinions expressed here
saswss@unx.sas.com    SAS Campus Drive     are mine and not necessarily
(919) 677-8000        Cary, NC 27513, USA  those of SAS Institute.
