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Hi experts,

I have a data which represent the request comes into development center. I need to know the distribution of the arrival data into that center. I have calculate the inter-arrival time and calculate the frequency of the inter-arrival time. So, how can I know the fit probability distribution for this data?

* Please find a sample of the data file (an example)

test-data.xlsx

I have a data which represent the request comes into development center. I need to know the distribution of the arrival data into that center. I have calculate the inter-arrival time and calculate the frequency of the inter-arrival time. So, how can I know the fit probability distribution for this data?

* Please find a sample of the data file (an example)

test-data.xlsx

Of course, in reality, the time of day or day of the week can have a pretty big impact on the number of requests so it depends on how sophisticated of a model you want.

Then you can find the interarrival times and find the average.

I don't know if this could be modeled as a Poisson process or not.

```
Issue Type CREATED
New Feature 11/10/2011 40857
New Feature 2/1/2012 40940 83
New Feature 4/11/2012 41010 70
New Feature 4/14/2012 41013 3
New Feature 5/2/2012 41031 18
New Feature 7/10/2012 41100 69
New Feature 7/31/2012 41121 21
264 / 6 ==> 44.00
```

Is there any reason to think this is a random process?

It's easy enough to find more complicated models that fit the data, but you'd probably just be fitting idiosyncrasies in the particular data set in a way that won't generalize to any other data.

Actually, it is a real data and more than 2000 record. I have calculate the inter arrival time and calculate the frequency to plot it and see which distribution can use. I have attached what I have got from plotting the frequency . The problem is I have problem to scale the data. SO, I plot it in minutes as shown in attached file.

test-data1.xlsx

Still stuck with this problem. I have no idea where is the problem. to simplify the problem, I have the attached data as a time of arrival tasks to a center, I need to find the fit distribution to set the simulation. So, I calculate the inter-arrival time between coming tasks and try to plot the frequency in histogram to compare it with Poisson distribution.

The question is that: does my steps correct to find the fitness distribution for my arrival point?

How can I calculate the Poisson distribution for this data or how to find the best distribution?

test3.xlsx

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Are all of your data in the same date/time format? It doesn't appear to be.

Most of the interarrival times are less than 1.00, but then there are runs of integers and zeros.

What does a zero value mean? Do you have multiple events happening at the exact same time?

Looking at the data by eye:

The events/day for the first seven days are 20, 12, 25, 31, 11, 32, 24.

This is great. It is analyzable. You might even be able to model it as a Poisson process.

But then you have a twenty day gap from JAN-11 thru FEB-2.

What is going on? Do you understand why this gap occurs?

You have a number of these gaps in your data.

What do you hope to learn from your analysis?