Do any electric lights have statistical lifetimes X~Exp(λ)?

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SUMMARY

The discussion centers on the statistical modeling of light bulb lifetimes, specifically addressing the inadequacy of the exponential distribution for real light bulbs. The exponential distribution, characterized by a constant failure rate, is contrasted with the Weibull distribution, which better accounts for aging and increasing failure rates over time. The Weibull distribution's shape parameter, k, significantly influences its probability density function (PDF), with k=1 corresponding to the exponential case and k=4 being more applicable to incandescent bulbs. References to H.S. Leff's work highlight the importance of understanding these distributions in practical applications.

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  • Understanding of exponential distribution and its properties
  • Familiarity with Weibull distribution and its parameters
  • Knowledge of statistical modeling in reliability engineering
  • Basic concepts of probability theory
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  • Study the Weibull distribution and its applications in reliability analysis
  • Learn about the bathtub curve and its relevance to product lifetimes
  • Explore the derivation of the cumulative distribution function (CDF) for the Weibull distribution
  • Read H.S. Leff's article "Illuminating physics with light bulbs" for practical insights
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Statisticians, reliability engineers, product designers, and anyone interested in the statistical modeling of product lifetimes and failure rates.

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I've come across a number of problems in elementary probability theory and statistics that can be exemplified as follows:
The lifetime, in years, of a certain class of light bulbs has an exponential distribution with parameter λ = 2. What is the probability that a bulb selected at random from this class will last more than 1.5 years?
The lifetime of a particular type of fluorescent lamp is exponentially distributed with expectation 1.6 years. [...]
Suppose that the lifetime of a particular brand of light bulbs is exponentially distributed with mean of 400 hours. [...]
Naturally, real lamps decay over time, so their lifetimes can't be memoryless. With that being said, is the exponential distribution a good approximation for the statistical lifetimes of any real lamps? Why/why not? If not, are there any other macroscopic systems whose lifetimes are modeled well by the exponential distribution?
 
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Many electronic and mechanical products (disk drives, for example) fail according to a "bathtub" curve. When first placed into service, the failure rate is high as units with manufacturing defects cull themselves. After that the failure rate is low and essentally flat until components reach their design lifetime and wear out; the failure rate then climbs sharply.
 
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Lord Jestocost said:
Have a look at: H.S. Leff, 1990. Illuminating physics with light bulbs. The Physics Teacher, 28, 30-35
Illuminating physics with light bulbs

The exponential distribution isn't a good approximation for the statistical lifetimes of real light bulbs. In case the failure rate increases with time due to aging, on uses the so-called "Weibull" family of distributions: https://www.mathpages.com/home/kmath122/kmath122.htm

Fascinating, thank you! I would have expected to see something more like the bathtub curve that Nugatory mentioned. Interesting derivation of the Weibull distribution's CDF F(𝜏) in the Illuminating physics article (well, 1-F(𝜏), named the surviving fraction).

At least the exponential distribution kind of makes sense in that it's the Weibull distribution with shape parameter k=1, whereas the case of k=4 seems to be much more relevant for real incandescent light bulbs. Since the Weibull PDF is so different for these two choices of k, it seems that authors of problems like the ones in my original post should at least mention it in the footnote.
 

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