All Questions
Tagged with outliers normal-distribution
12 questions with no upvoted or accepted answers
5
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Detecting outliers in percentages
My dataset looks like below -
Total Success Percentage
100 65 65%
50 25 50%
30 20 66.6%
50 40 80%
Plot -
Each row is ...
- 51
2
votes
0
answers
7k
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Outlier detection: Normal distribution
I was reading the following link:
http://machinelearningmastery.com/how-to-identify-outliers-in-your-data/
In the link they have made the following statement:
Outliers are extreme values that fall ...
- 223
2
votes
0
answers
1k
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Deriving mean and variance of the posterior distribution
I have a simple linear model: $y_{i}=\mu+e_{i}$ for $i=1,...,n$, where $P(e_{i})=w\mathcal{N}(0,\sigma^2) + (1-w)\mathcal{N}(0,k^2\sigma^2)$ with $w=0.9$, $k=10$ and $\sigma=0.1$. It can be understood ...
- 53
2
votes
1
answer
66
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Analyzing regression results
I have done a regression model where i determine the number of cubes (independent variable) based on the amount of units i started with for each product type (dependent variables, ...
- 1,091
2
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0
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710
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Can Chauvenet's criterion be used with non-normal data?
Can I use Chauvenet's criterion on set of observations where a normal distribution cannot be assumed?
- 163
2
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0
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3k
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qqPlot with Two Outliers
If I have a QQ plot with two extreme outliers (picture below) how should I interpret it? Do I drop the outliers? Can I treat it as normal?
- 121
1
vote
0
answers
371
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Bayesian inference for outliers detection
Can you please comment, validate, correct my reasoning here?
I want to identify outliers of the value to mass ratio (V/M) of rice, just to give a simple univariate example.
Prior information: rice ...
- 165
1
vote
0
answers
880
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What is the influence of outliers in discriminant analysis?
In discriminant analysis like a Canonical Regression Analysis, the outliers tend to skew the results of the analysis, but nowhere can I find "how much" the outliers influences the analysis.
What I'd ...
- 11
1
vote
1
answer
2k
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Anomaly detection on 1D data with multiple gaussian distributions
My core problem is to set a cutoff to my one dimension data between normal with abnormal. I think this is a 'anomaly detection' problem.
My Data
My data is one dimension, consists with below:
(...
- 11
0
votes
0
answers
401
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Generating Multivariate Outliers in R
I have generated a data-set following the Gaussian distribution with 5 dimensions. The data-set is 1Million record and I am seeking planting 20% outliers, is there a more neat way in R to generate ...
- 1
0
votes
1
answer
86
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Linear regresssion on body mass index
I am using a continuous variable of body mass index. I checked the distribution using statistical tests and determined it is not normally distributed. I think these results are driven by outliers, ...
0
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2k
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Finding a confidence interval for observations being outliers
Suppose I have a sample with sample size $N$ that is obtained experimentally, e.g. I have counted the number of birds at a certain location at a certain time.
Now suppose that the sample (the number ...
- 1