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Re: st: decay rate for univariate time series data
From
Nick Cox <[email protected]>
To
[email protected]
Subject
Re: st: decay rate for univariate time series data
Date
Fri, 8 Jun 2012 19:44:00 +0100
"diff" == different, difficult, diffident?
Look like a Poisson regression to me. I don't see anything
intrinsically econometric about this either.
Nick
On Fri, Jun 8, 2012 at 7:30 PM, tashi lama <[email protected]> wrote:
> Of all the questions I have posted, this one is very diff since this is more of a econometrics problem than stata. I am hoping to get some thoughts and ideas. I have a univariate time series data where the variable is readership hits on a document over time. The problem is to identify the time till the document is still fresh. My goal is to find the "decay rate" as a metric to evaluate freshness of the document. Here is my dataset
>
>
>
> day hits
> |------------------|
> 1. | 03jan2011 211 |
> 2. | 04jan2011 60 |
> 3. | 05jan2011 28 |
> 4. | 06jan2011 16 |
> 5. | 07jan2011 20 |
> |------------------|
> 6. | 08jan2011 2 |
> 7. | 09jan2011 8 |
> 8. | 10jan2011 10 |
> 9. | 11jan2011 7 |
> 10. | 12jan2011 12 |
> |------------------|
> 11. | 13jan2011 7 |
> 12. | 15jan2011 3 |
> 13. | 16jan2011 3 |
> 14. | 17jan2011 5 |
> 15. | 18jan2011 1 |
> |------------------|
> 16. | 20jan2011 1 |
> 17. | 21jan2011 1 |
> 18. | 24jan2011 5 |
> 19. | 25jan2011 4 |
> 20. | 26jan2011 4 |
> |------------------|
> 21. | 28jan2011 1 |
> 22. | 31jan2011 2 |
> 23. | 01feb2011 1 |
> 24. | 02feb2011 2 |
> 25. | 04feb2011 2 |
> |------------------|
> 26. | 05feb2011 2 |
> 27. | 07feb2011 2 |
> 28. | 08feb2011 2 |
> 29. | 09feb2011 1 |
> 30. | 14feb2011 1 |
> |------------------|
> 31. | 15feb2011 1 |
> 32. | 16feb2011 1 |
> 33. | 24feb2011 1 |
> 34. | 25feb2011 1 |
> 35. | 03mar2011 1 |
> |------------------|
> 36. | 06mar2011 2 |
> 37. | 11mar2011 2 |
> 38. | 19mar2011 2 |
> 39. | 29mar2011 2 |
> 40. | 07apr2011 3 |
> |------------------|
> 41. | 22apr2011 1 |
> 42. | 29apr2011 1 |
> 43. | 06may2011 2 |
> 44. | 07may2011 1 |
> 45. | 09may2011 2 |
> |------------------|
> 46. | 16may2011 1 |
> 47. | 04jul2011 2 |
> 48. | 06jul2011 1 |
> 49. | 30jul2011 2 |
> 50. | 11aug2011 1 |
> |------------------|
> 51. | 21sep2011 1 |
> 52. | 25oct2011 1 |
> 53. | 10nov2011 1 |
> +------------------+
> My questions are:
>
> 1. Can I run a regression to get the dacay rate and if I can, what kind of regressions should I consider running? The scatter plot of readership hits looks like a negative exponential.
>
> 2. Please note my date has gaps. In other words, it is not continuous.
>
> 3. Any ideas to obtain a decay rate
>
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