So many available options for regression . I am confused !!!!!!!!!!!

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Priya
Priya 2013-9-10
Hello All
Kindly have a look at the link below.. http://www.mathworks.in/help/stats/introduction-to-parametric-regression-analysis.html#btb52kr
It provides so various types of regression analysis. Can i know the internal working of all these ? Parametric / Supervised ???
How to choose suitable one for my work ?
In my case, I have entirely no idea regarding the relation between the regressor and response variables. (Linear or Polynomial ). M work has started from scratch with no previously available literature on my problem.
Which analysis will suit the best for my dataset ?
PLEASE HELP......

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Image Analyst
Image Analyst 2013-9-10
What does your data look like? Can you provide a sample of it to us? Then, is there some underlying theoretical model that you expect your noisy actual data to follow? Like there is a linear or quadratic relationship between some sets of data?
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Image Analyst
Image Analyst 2013-9-10
So you don't want to preform prediction/estimation from a model, you want to classify your data set into 4 classes or more. Some of your data may belong to more than one class. But to do that you need to know what constitutes a class. From what I can see there are no clusters in your data so I'm not really sure what class A, B, C, or C would be. Do you have any training data that is already classfied into some known "ground truth" classes? Like an x of 30 and a y of 123 is known to be in class A?
Priya
Priya 2013-9-10
编辑：Priya 2013-9-10
Yeah. I can classify data according to 4 classification criteria, which are reasonable and make sense.
Regarding Training data, yes I can get training data from previous literature, but the dataset will be different and small.
Can't we make sense out of this data in any way. Because, generally most of the large datasets are quite random, out of which people have made some sense out of it by classification or maybe some other techniques.

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