How to generate data from Kernel Distribution fit ?
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I have fitted some data to through kernel distribution using the distribution fitting app. But I could not figure out hoe to generate data points using this distribution. Distribution kdfit is exported to workspace as can be seen in the figure below. How can i use this distribution to genrate say 20 datapoints that follow this distribution. ( PS: this distribution is generated from 50000 datapoints)
Data file is also attached if you could please suggest a better way to fit this data. This is the EV charging start time during a day ( in minutes).
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VINAYAK LUHA
2023-9-5
0 个投票
Hi Haroon,
To the best of my understanding, you wish to generate sample datapoints that follows the kernel distribution fit of your data.
Refer to step 5 in the following documentation on how to generate random numbers from a fitted kernel distribution https://in.mathworks.com/help/stats/fit-a-kernel-distribution-object-to-data.html
For improving the fit, you can adjust the bandwidth or kernel type parameters and settle for some quality as per the following documentation.https://in.mathworks.com/help/stats/kernel-distribution.html
Hope this helps.
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