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This article will delve into what outliers are, how we can identify outliers in Stata, and finally, how they can be treated in Stata. Defining Outliers. Put simply, an outlier is a value/observation in a dataset that is either extremely high or extremely low as compared to other values/observations in a given dataset.
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The aim of The Data Hall is to provide tutorials on...
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Generating ID in Stata. ID is generated in Stata to make...
- Combine Multiple Graphs in Stata
And if they are stored in Stata memory, use the original...
- How to Calculate Stock Return in Stata
Now the above code works fine if we only have one time...
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We can, for example, use a template called ‘Stata Journal’...
- How to Combine Multiple CSV/Excel Files in Stata
Note the addition of the two backward slashes. We add two...
- Stata Tutorials
Import and Export Data in Stata. Import and Export an Excel...
- Cryptocurrency Data
Our dataset comprises around 2700 cryptocurrencies (This is...
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In this video we explain the methods of identifying multivariate outliers in Stata. The different methods covered ranges from simple sorting of the variable,...
23 wrz 2014 · It's entirely possible to have bivariate outliers that aren't univariate outliers, trivariate outliers that aren't bivariate outliers, and so forth. There are naturally ways of finding these. 4 likes
In this video Dewan, one of the Stats@Liverpool tutors from The University of Liverpool, demonstrates different methods for detecting outliers using the software STATA.
Detecting Outliers using Stata. As is often the case with Stata, instead of a few big commands with several options, we execute several smaller commands instead. How useful different approaches are may depend, in part, on whether you are analyzing a few dozen cases, or several thousand.
4 cze 2020 · How to Identify and Treat Outliers in Stata | Stata Tutorial. The Data Hall. 36K views 4 years ago. Outlier detection using STATA. Here is how you identify and deal with outliers in...
These estimators can be used to robustify Mahalanobis distances and to identify out-liers. Verardi and Croux (1999, Stata Journal 9: 439–453; 2010, Stata Journal 10: 313) programmed this estimator in Stata and made it available with the mcd command.
