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4 years ago in Data Analysis , Data Mining , Matlab , SPSS By Jeremy
Easy and simple way for missing data estimation?
Hi everyone, I know this might give a wrong idea but please read this description. I am not trying to save the efforts (that is not the case AT ALL). It’s just that I have to obtain climatological data for my research.The data has to be based on daily observation for about 20 years. So, as you can see now, I really have to know the method of estimating the missing climatological data.
Out of all the variables I included the rain estimates and sunshine hours are the ones which are creating issues in the data. The defect in these often diffuses the series by creating problems in data of a few months and sometimes even years.
I need to know of some reliable method in which I can settle this issue and estimate the missing data. Please help me if you have any previous experience in such research work or if you can share some similar research articles or documents.
I hope you help a fellow research student.Â
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All Answers (4 Answers In All)
By Abeden Answered 4 years ago
Hello dear, I would suggest you use the LOESS (Locally Weighted Regression Smoother) method to estimate the missing data. It is an effective method and works really well.
Also, in case you are well aware of the matlab process, then I would like you to go through the given page link once. Maybe it will be of some help to you.
Data Driven Fitting with Matlab
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You can also read his article for a better understanding. Let me know if it helps.
Comparison of different Methods for Univariate Time Series Imputation in R
Reply to Abeden
By Manoj Answered 4 years ago
After that you can use the find function to get the raw missing data or the logical judgment command (a=NaN) can also be used.
With this you will be able to get the number of missing data quite easily.
Replied 4 years ago
By Jeremy
Replied 4 years ago
By Manoj
Replied 4 years ago
By Jeremy
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By Siti Answered 4 years ago
The climatological imputation or else, it can never be close to truth/reality when it is done through imputation. Every case needs to be studied well, the days, months, and years are no joke.
You should fill the data case by case, and for that compare the duration you included with other studies.
Reply to Siti
By Shubham Dhingra Answered 4 years ago
This method works well but I am not too sure whether it works with data gaps that occur continuously and multiple times. But you can always try it.
Also, you can use hydrolab. If you don’t know much about it, then take help from experts. I took it once and my research paper got accepted too.
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