Engineered Software

Parameter Estimation Exam


Techniques

Cumulative Distribution Function

Cumulative Hazard Function

Weibull Distribution

Normal Distribution

Lognormal Distribution

Exponential Distribution

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  1. Which method of parameter estimation is the most accurate?
    Probability Plotting
    Hazard Plotting
    Maximum Likelihood Estimation
    Matching Moments

  2. Before the results of parameter estimation are used to predict reliability, what should be done?
    Failures should be verified
    The goodness of fit of the chosen distribution should be verified
    Parameter validation
    All of the above

  3. Given the following data, which distribution does not provide an adequate time to fail model? A "+" indicates the item was removed from testing prior to   failing.
    15 27+ 36 42 60+
    18 31 40+ 54+
    18.5 33 41 60+

    Lognormal
    Exponential
    Weibull
    Normal

  4. Probability plotting involves obtaining a linear form of
    The probability density function
    The hazard function
    The failure rate function
    None of the above

  5. Given 4 units were tested for 100 hours without failing and an additional unit failed after 93 hours of testing, estimate the mean time to fail assuming an exponential time to fail distribution.
    49
    98.6
    93
    None of the above

  6. Given the following data, and using the Weibull distribution, what is the lower 95% confidence limit for the time to fail at 99% reliability? A "+" indicates the item was removed from testing prior to  failing.
    15 27+ 36 42 60+
    18 31 40+ 54+  
    18.5 33 41 60+  

    1.708
    7.993
    14.218
    None of the above

  7. Given the following data, and using the Weibull distribution, what is the lower 95% confidence for reliability at time = 10? A "+" indicates the item was removed from testing prior to  failing.
    15 27+ 36 42 60+
    18 31 40+ 54+  
    18.5 33 41 60+  

    0.8266
    0.8540
    0.8891
    None of the above

  8. Given the following data, and using the Weibull distribution with a shape parameter of 3, what is the lower 95% confidence limit for the time to fail at 99% reliability? A "+" indicates the item was removed from testing prior to failing.
    15 27+ 36 42 60+
    18 31 40+ 54+  
    18.5 33 41 60+  

    8.453
    9.112
    10.59
    None of the above
  9. Given the data below, and a lognormal distribution, what is the lower 90% confidence limit for the time to fail at 80% reliability?
    5 57+ 186 399
    18 81 240+ 460+
    28 133 441 460+

    13.72
    18.95
    24.77
    24.87

  10. Given an exponential distribution, and given 4 units were tested for 100 hours without failing and an additional unit failed after 93 hours of testing, determine the lower 90% confidence limit for the time to fail.
    185 hours
    127 hours
    235 hours
    271 hours

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