KStest for unimodal and bimodal models
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Hi, i would like to perform a KStest of an unimodal and bimodal models with observed data X.
Please find an example of X in attachement.
The unimodal model is a lognormal distribution defined as:
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/233009/image.png)
where
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/232550/image.png)
The bimodal model is a lognormal & lognormal PDF defined as:
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/233010/image.png)
where
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/232552/image.png)
How can i use the KStest for evaluate the goodness of fit of both models with observed data?
Is there a quick way to evaluate this with KS statistic?
T PLOCOSTE
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Jyotsna Talluri
2019 年 8 月 7 日
Hi,
Kstest(x) returns a test decision for the null hypothesis that the data in vector x comes from a specified standard normal distribution or it does not come from such a distribution
If the result is one the test rejects the null hypothesis at default significance level(5%)
From your data
Data=ObservedData(:,1);
x=(Data-3.2)/0.44; %specified mean and standard deviation
r=kstest(x) ;
Similarly ,for a bimodal distribution, check the kstest for each distribution seperately
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