Tagged Questions
1
vote
1answer
37 views
How to explain how I divided a bimodal distribution based on kernel density estimation
I have a dataset of bimodal population. It contains a smaller peak, which is considered to be "bad", and a bigger peak. I try to separate the bad part of data from the rest of data. What I did was: ...
0
votes
1answer
88 views
how to read y axis in kernel density graph [duplicate]
I need to understand how to read kernel density graphs. How do you come up with the values in y-axis?
1
vote
1answer
371 views
What does the y axis in a kernel density plot mean? [duplicate]
Possible Duplicate:
Probability distribution value exceeding 1 is OK?
I thought the area under the curve of a density function represents the probability of getting an x value between a ...
2
votes
1answer
166 views
Explain Kernel density chart
I'm running simulation on a linear model. I get 1000 results and the results are put into a density chart. I do understand that the xaxis is the dependent variable and yaxis represent the kernel ...
8
votes
1answer
834 views
Is there an optimal bandwidth for a kernel density estimator of derivatives?
I need to estimate the density function based on a set of observations using the kernel density estimator. Based on the same set of observations, I also need to estimate the first and second ...
0
votes
1answer
109 views
Estimate density from neighbor distances
Assuming I have a data set of known size, and there is one object that I want to test for being in an approximately uniform distributed region of the data set.
For the query object, I know the $k$ ...
1
vote
0answers
87 views
How to estimate the intensity of a multidimensional point process?
Note that for a homogeneous point process the density is just a number, while for an in-homogeneous process it is a function. In addition, how can I distribute that function on a larger study region ...
1
vote
0answers
117 views
Multivariate non-parametric density estimation with many missing values
Apologies in advance if any of my terminology here is wrong, I'm not an expert in statistics. If I've made any mistakes, let me know and I'll correct them.
The task I'm looking for some advice on ...
1
vote
1answer
85 views
Bandwidth value for vector of equal values in kernel density estimation
How to define the value of bandwidth when we have a vector where all the values is the same? In this case, IQR and sample variation are both equal zero and Silverman's rule also result in zero.
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