Talk:Curve fitting

message: I am not sure how to fix this, but the following text is a little confusing:
"to infer values of a function where no data are available"
At first look I thought "you can't just make up data". I am pretty sure what they mean there is interpolation between points where you have surrounding data but no data point for that particular independent variable value. However, it is a little clumsy (as is my explanation, hence not in the article :))
DeepNorth (talk) 02:36, 27 November 2020 (UTC)
thread_title: Confusing Text

message: This article covers math skill that could be learned in a high school physics class but causes the reader to think
about concepts one shouldn't even think about until calc II.  There are better examples of these principles.  Talking about osculation and using curvature to find the magnitude of a force vector are not really necessary.  Here is a rule for education.  The more simple, the better, if it gets the job done.  —Preceding unsigned comment added by 67.213.3.6 (talk) 02:12, 17 February 2008 (UTC)
thread_title: Problems

message: I have written a TableCurve 3D user defined function (udf) for a rotated and shifted paraboloid.  With this module, available upon request, one can obtain the shift and rotation of paraboidal data with a few clicks in TableCurve 3D by Systat Software, Inc.  http://www.systat.com
There is some problem with the syntax of the second paragraph, I think. Charles Matthews 16:34, 23 Jun 2004 (UTC)
thread_title:  

message: There exists a stub article on non-linear curve fitting. I think that rather than expanding that stub, we should do a merge and expand on the material that already exists on non-linear curves in this article. Jyotirmoyb 05:24, 15 February 2007 (UTC)
thread_title: [[Non-linear curve fitting]]

message: In addition to nonlinear curve fitting, some coordination is needed
with the regression articles, in particular with the article "nonlinear regression."
From a statistician's perspective, regression includes not only curve fitting but
inference, for example computing a confidence interval for a regression prediction.  
Dfarrar 20:18, 20 February 2007 (UTC)
thread_title:  Integrate with article [[nonlinear regression]] 

message: *Oppose - I would like to object to merging curve fitting and smoothing together; I think they are different concepts. Curve fittings involves fitting a function and often calculating minimal error, while smoothing can be done without fitting a curve, implying a more "on the fly" algorithm that can process points one by one. Anoko moonlight (talk) 08:27, 14 May 2008 (UTC)
thread_title:  Merge curve fitting with smoothing 

message: I am surprised that a link to a general-purpose scientific library is added (NumPy, and now also GSL). If we go on like this, we'll have all the programs in List of numerical analysis software included. It was countered that other links are also general purpose, but at least as fas as I can see from the description all links go to pages specifically about either curve fitting or (non)linear regression. I see no reason to have links to NumPy and GSL. As a matter of fact, I think we should consider removing all links to software per WP:NOT (Wikipedia is not a repository of links). -- Jitse Niesen (talk) 20:27, 4 August 2008 (UTC)
replies: text: Hi Jitse. I agree to some degree that the list of external links is a little bit too much. Though I think it is useful to have some implementations here, including the once that are used very often, maybe even most often (that is, NumPy and GSL). The only question is where to stop... I think that mentioning NumPy and GSL is not a problem. By the way, I did not add GSL as you suggested, it was already here a long time ago, I only changed its appearance. Anoko moonlight (talk) 07:52, 5 August 2008 (UTC)
replies: text: Sorry, I did think without checking that you added GSL. I just did a rather bold edit, writing a short section on software with links to NumPy and GSL. I added R, because my guess would be that statistical packages are used most often for curve fitting (myself, I'd use Matlab but I may well be atypical here). Then, I replaced all external links to individual implementations by a list hosted at DMOZ. That approach works well in similar pages. I'm sure you'll tell me if you disagree! -- Jitse Niesen (talk) 12:22, 5 August 2008 (UTC)
replies: text: I like it, it's a big improvement! Anoko moonlight (talk) 14:51, 5 August 2008 (UTC)
thread_title:  External links 

message: well, this site can quickly return fits.  An example is box input:  quadratic fit {{0,-1.5},{100, 1.4},{200,0},{300,-6.5},{400,-18.9},{500,-38.4}}  which shows one the plot as well as the least squares quadratic fit.  Samples of various fit types (linear, cubic, etc) is at the site .--Billymac00 (talk) 05:23, 29 November 2009 (UTC)
thread_title:  [[Wolfram Alpha]] 

message: Under this heading, it could be construed as ambiguous that the author used the word "net" when there is a mathematical construct that is named the same thing, without making a link of the word.  I'm not an expert on Regression by any means, but it seems to be that the author is talking about net as in a "sum" instead of net as in a generalized sequence.  I am not absolutely sure though, and we need absolute surety in mathematics, so I did not want to change the author's work if it was indeed what he/she meant, and I did not want to link to the Topology topic of nets in case that wasn't what he/she meant.  I'd be glad if someone with enough expertise to properly read this in context could clarify it in the article.  Thanks.  :)  67.8.93.121 (talk) 03:22, 3 September 2010 (UTC)
thread_title:  Applications to 3d 

message: The first issue with the article is that it basically lacks any references, except to a research paper and an MSc thesis which probably does not meet Wikipedia's reliable source criteria. I've added some appropriate tags about references to the article. The second issue is the tone of the article, containing such phrasings as  This isn't the appropriate tone for Wikipedia articles. I've added the "tone" tag to the article. The article seems to have been in this state for a long time. JoshuSasori (talk) 01:47, 6 October 2012 (UTC)
thread_title:  Multiple issues with article 

message: To my knowledge, the most complete reference to fitting circles is Nikolai Chernov's book, Circular and linear regression: Fitting circles and lines by least squares, Chapman & Hall/CRC, 2010, where he collected his 30 years of experience with this topic. A few chapters, a few dozen programs and his research papers are available from his web page at the University of Alabama in Birmingham, http://people.cas.uab.edu/~mosya/cl/ --Peterlin (talk) 21:40, 21 August 2015 (UTC)
thread_title:  Fitting ellipses, circles, and lines by least squares 

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thread_title:  External links modified