[HN Gopher] Using Survival Analysis to estimate product lifetime
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       Using Survival Analysis to estimate product lifetime
        
       Author : sebg
       Score  : 13 points
       Date   : 2024-10-28 09:38 UTC (2 days ago)
        
 (HTM) web link (jumpdata.co.uk)
 (TXT) w3m dump (jumpdata.co.uk)
        
       | jph wrote:
       | Good intro to KM survival stats. I appreciate the author
       | highlighting the limitations of KM due to non-parametric results
       | because of discrete/binned data, such as "number of machines that
       | failed per month".
       | 
       | IMHO it's well worth also knowing about parametric results using
       | continuous data, especially if you're involved in tech products,
       | because tech product telemetry can often provide individual
       | timestamps, such as "this specific phone worked at $timestamp and
       | didn't work after".
       | 
       | A good place to start for the continuous approach is with the
       | Weibull distribution:
       | https://en.wikipedia.org/wiki/Weibull_distribution
        
       | usgroup wrote:
       | This is hard to do for products when they change over time. Eg if
       | a product is upgraded and repaired, and if it has different
       | versions and so on, it's no longer a static distribution, and
       | things get complicated.
        
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       (page generated 2024-10-30 23:02 UTC)