So many available options for regression . I am confused !!!!!!!!!!!
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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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Muthu Annamalai
2013년 9월 10일
It would be nice to post questions without being dramatic; just saying.
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Image Analyst
2013년 9월 10일
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
2013년 9월 10일
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?
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