What is the difference between f-test and t-test?
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Hello Everybody;
Hope you are all doing well...
Can anybody explain the main difference between f-test and t-test?,
where i want to use it as method to identify the effective features among a list 60 features extracted out of two types of data (i.e, data 1 composed of 30 image for each image 60 features are extracted/ data 2 composed of 40 images for each image 60 features are extracted), i do search but i still misunderstand the difference..
Note that: the matlab equations for t- test is (h = ttest2(x,y)) and f-test is (H = vartest2(X,Y))
Thanks Alot;
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Shashank Prasanna
2013년 6월 22일
t-test is used to test if two sample have the same mean. The assumptions are that they are samples from normal distribution.
f-test is used to test if two sample have the same variance. Same assumptions hold.
I have little to no experience in image processing to comment on if these tests make sense to your application. A little more info of the problem you are trying to solve will be useful.
If you are however solving a classification problem (categorizing your images) You can use stepwise logistic regression with F-statistics criterion to reduce your predictor dimension:
Alternatively you could use PCA as Image Analyst suggested which does not take into account the response when reducing the dimensionality.
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Image Analyst
2013년 6월 22일
Were the Wikipedia explanations not understandable? Anyway, I'm no statistician but I think you'd want Principal Components Analysis, rather than t-test of F-test, if you want to figure out which of 60 features are the most important.
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Image Analyst
2013년 6월 22일
OK, whatever...I have no idea how you'd use either the t-test or F-test with 60 features to "judge the features", but if you do, then that's all that counts.
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