by Newsseeker » Wed 14 Mar 2007, 17:13:53
$this->bbcode_second_pass_quote('Gideon', '')$this->bbcode_second_pass_quote('', 'H')owever, one thing is critical to keep in mind. If you are going to use the model for forecasting, the model must be tested. Testing the model is called “validation”, or sometimes “back-casting.” This involves feeding the model real data, and observing how well the predictions match up with the observations. If the predictions match up on a consistent basis, and any large variations are explainable, you have the makings of a predictive model. If you have not validated your model, or if you have attempted to validate it and found that the predictions were inconsistent, the model should be used with caution (if at all). In this essay I have done some back-casts on the Hubbert Linearization (HL) model and attempted to use it to make predictions using historical data.
....
http://www.theoildrum.com/node/2357#moreThis article/essay brings up the problems associated with trying to use HL techniques for forecasting. It is a very good essay and brought up a lot of points that I had previously not known about. Thoughts??
1. I've never seen a written communication begin with the word "however". So that's a first for me. Thanks.
2. Although I have seen people praise their own work, I like your twist on the ol' "I ain't braggin' cuz it's true" approach; I like the way you note that your essay is so damn good that it brought up points that even you, the author, had not previously considered. Wow! That is good stuff.
3. Thanks for the cite. It was a good read.
Sorry. The first paragraph of the essay wasn't really good for beginning the HL discussion so I started with "However..." The comments at the bottom are mine and I can't wait to read part two.