Linked Questions

0 votes
2 answers
586 views

Removing outliers from dataset [duplicate]

I am conducting separate regression models for two of my hypotheses. If I spot outliers in one case of conducting the regression model can I then bring them back for my second? Or do these outliers ...
Liz's user avatar
  • 1
1 vote
1 answer
240 views

Removing outliers at the start when there are multiple ANOVA and correlational analyses in a single results section [duplicate]

I would be grateful for opinion on which of the two options below (or an alternative) is best: Summary of study: In a single results section, different ANOVAs are run on the different metrics – raw ...
Pop's user avatar
  • 13
0 votes
0 answers
140 views

When removing outlier is right? Removing techniques for outliers in R [duplicate]

I was searching outlier removal in R and I saw some comments related to almost never you should remove outlier from dataset. I wonder when we should remove outlier? I have a dataset consisting ...
tyer's user avatar
  • 61
46 votes
9 answers
47k views

Is it OK to remove outliers from data?

I looked for a way to remove outliers from a dataset and I found this question. In some of the comments and answers to this question, however, people mentioned that it is bad practice to remove ...
Sininho's user avatar
  • 581
35 votes
2 answers
14k views

Is there a boxplot variant for Poisson distributed data?

I'd like to know if there is a boxplot variant adapted to Poisson distributed data (or possibly other distributions)? With a Gaussian distribution, whiskers placed at L = Q1 - 1.5 IQR and U = Q3 + 1....
caas's user avatar
  • 535
15 votes
5 answers
4k views

Is it cheating to drop the outliers based on the boxplot of Mean Absolute Error to improve a regression model

I have a prediction model tested with four methods as you can see in the boxplot figure below. The attribute that the model predicts is in range of 0-8. You may notice that there is one upper-bound ...
renakre's user avatar
  • 857
24 votes
1 answer
12k views

Can we use leave one out mean and standard deviation to reveal the outliers?

Suppose I have normally distributed data. For each element of the data I want to check how many SDs it is away from the mean. There might be an outlier in the data (likely only one, but might be also ...
Oliver's user avatar
  • 343
7 votes
6 answers
21k views

How to detect outliers in skewed data set?

I am working on my school datamining project. Within preprocessing stage I need to remove outliers from my data set which is positively skewed (see description). I have an idea to remove all values ...
jnemecz's user avatar
  • 259
11 votes
2 answers
23k views

Outlier detection using regression

Can regression be used for out lier detection. I understand that there are ways to improve a regression model by removing the outliers. But the primary aim here is not to fit a regression model but ...
user48567's user avatar
  • 141
12 votes
2 answers
5k views

The Least Squares Assumptions

Assume the following linear relationship: $Y_i = \beta_0 + \beta_1 X_i + u_i$, where $Y_i$ is the dependent variable, $X_i$ a single independent variable and $u_i$ the error term. According to Stock &...
bachelor's user avatar
  • 353
7 votes
3 answers
2k views

Outlier treatment in Vector Autoregression (VAR) Model

Data: Multivariate Time Series, Series Demand of a product Rainfall data both available at monthly level from 2010-2013. Approach: I am trying to estimate the effect of rainfall on demand of the ...
NG_21's user avatar
  • 1,556
2 votes
1 answer
1k views

Cook's distance and $R^2$

I am currently running a linear regression and calculating its $R^2$ After that. I calculate the Cook's distance of all points and throw away from the analysis all of the points with a distance ...
Wilmer E. Henao's user avatar
7 votes
1 answer
2k views

How to test for outliers in an mlogit model in R

I am running a multinomial logistic regression using the mlogit package and mlogit function in R. Now I need to check for ...
kalyani's user avatar
  • 669
1 vote
1 answer
1k views

Removal of multi-dimensional outliers?

I have some issues in data reduction, and one expert advised me to remove the outliers and then move to Factor Analysis. I want to remove outliers together, as I have 61 items, and box plots are not ...
user22442's user avatar
4 votes
1 answer
687 views

Intelligently selecting outliers

I'm trying to remove what might be considered "unreasonable" data by evaluating the percent error in the mean and square root of the variance. Here's the setup: Let's say I have three bids on a ...
Joel Graff's user avatar

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