Distribution to model time between web page accesses

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SUMMARY

The discussion centers on modeling the average time a user spends reading a web page based on the number of words on the page. The user seeks to determine if a random exponential distribution is suitable for this purpose and is open to exploring alternative probability distributions. The conversation highlights the need for more specific mathematical insights, suggesting that inquiries in specialized math forums may yield better results.

PREREQUISITES
  • Understanding of probability distributions, particularly exponential distribution
  • Familiarity with user behavior modeling in web analytics
  • Basic knowledge of statistical analysis techniques
  • Experience with mathematical modeling concepts
NEXT STEPS
  • Research alternative probability distributions such as normal, log-normal, and Weibull distributions
  • Explore user behavior modeling techniques in web analytics
  • Learn about statistical analysis tools like R or Python's SciPy library
  • Investigate mathematical modeling resources and forums for deeper insights
USEFUL FOR

Web developers, data analysts, and researchers interested in user behavior modeling and statistical analysis for web page engagement metrics.

oneamp
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I have a formula to get an average time that an average user spends reading a web page before going to the next one, that takes as input the number of words on the page. I want to use this in conjunction with a probability distribution to try to accurately model an 'average user' that is not exactly average; ie. a real user. Is a random exponential distribution appropriate to use in this context? If not, what are the alternatives and their benefits?

Thank you
 
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oneamp, it sounds an interesting approach. You'd be likely to get more specific suggestions if you asked on one of the maths sub-forums. This is sure to be something that others have spent time on.

Good luck.
 

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