Dear All,
I am working on normal distribution in image processing domain. In normal distribution, skew and shape (shape of the distribution) identification is important role in my research work. So, I need, how to test and identify the skew and shape of the distribution? Is there any testing method or procedure? (I need mathematical base solutions) Could any one explain me please? Similarly I want to know identification of peak and valley of the distribution also.
Thank you Professor, It will be very useful to me. Please suggest me any references (literature) on this topic.
Thanks
There are many statistic books you can refer to on this skewness & kurtosis of the normal distribution. E.g.
Field, A. (2005). Discovering statistics using SPSS. 2ndEd. London: Sage Publications.
Coakes and Ong (2011). SPSS version 18.0 for Windows - Analysis without Anguish. John Wiley & Sons.
Dear Muthukumaran Malarvel
please, you can visit the link about your subject:
https://etd.ohiolink.edu/!etd.send_file?accession=bgsu1370958073&disposition=inline
Good luck
along with skew and kurtosis, you can try normality testing
e.g. Shapiro–Wilk test
Dear Muthukumaran Malarvel,
Look the link, may be useful.
https://www.mathsisfun.com/data/skewness.html
https://help.gooddata.com/display/doc/Normality+Testing+-+Skewness+and+Kurtosis
Regards, Shafagat
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