Distribution to model time between web page accesses

In summary, the conversation discusses using a formula to calculate the average time an average user spends reading a web page, taking into account the number of words on the page. The individual wants to use this in conjunction with a probability distribution to accurately model a real user. The question is raised about whether a random exponential distribution is appropriate for this context and alternatives and their benefits are suggested.
  • #1
oneamp
219
0
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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  • #2
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.
 

What is the purpose of modeling time between web page accesses?

The purpose of modeling time between web page accesses is to understand the patterns and trends in how users access web pages. This can help in optimizing website design, improving user experience, and analyzing user behavior.

What is distribution in statistical modeling?

Distribution in statistical modeling refers to the pattern of values that a variable takes on. It helps in understanding the likelihood of a particular outcome or event occurring and can be used to make predictions and draw conclusions.

Why is it important to use a specific distribution to model time between web page accesses?

Using a specific distribution to model time between web page accesses allows for more accurate and meaningful analysis. Different distributions have different characteristics and can provide insights into different aspects of the data, such as the average time between accesses or the probability of a certain time interval occurring.

What are some common distributions used in modeling time between web page accesses?

Some common distributions used in modeling time between web page accesses include the exponential distribution, Poisson distribution, and Weibull distribution. These distributions have different shapes and can be chosen based on the characteristics of the data being analyzed.

How can modeling time between web page accesses benefit website owners?

Modeling time between web page accesses can benefit website owners by providing insights into user behavior, helping to identify areas for improvement in website design, and optimizing website traffic. It can also aid in making data-driven decisions to increase user engagement and satisfaction.

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