kling"
Subject: Re: [R] Non-constant variance and non-Gaussian errors with
gnls
To: r-help@r-project.org
Message-ID:
Content-Type: text/plain; charset=UTF-8
Well, it looks like I am partly answering my own question. gnls is
clearly not going to be the right method to use to try out a
non-Gaus
Statistical Society (B)
70(2): - .
Hope this helps some,
Monica
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Message: 94
Date: Wed, 3 Sep 2008 09:24:10 +0100
From: "Paul Suckling"
Subject: Re: [R] Non-constant variance and non-Gaussian errors with
gnls
To: r-help@r-project.org
Well, it looks like I am partly answering my own question. gnls is
clearly not going to be the right method to use to try out a
non-Gaussian error structure. The "ls"=Least Squares in "gnls" means
minimising the sum of the square of the residuals ... which is
equivalent to assuming a Gaussian error
I have been using the nls function to fit some simple non-linear
regression models for properties of graphite bricks to historical
datasets. I have then been using these fits to obtain mean predictions
for the properties of the bricks a short time into the future. I have
also been calculating appro
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