Unlock: Weibull Distribution
The Weibull distribution is the parametric workmate of reliability and survival analysis. Two parameters: a shape k and a scale lambda. The hazard rate is monotone in time, increasing when k > 1 (wear-out), constant when k = 1 (Exponential, memoryless), decreasing when k < 1 (early-failure / infant-mortality). Mean is lambda Gamma(1 + 1/k); variance is lambda squared times (Gamma(1 + 2/k) minus Gamma(1 + 1/k) squared). MLE for k has no closed form and is solved by Newton-Raphson on the profile score equation. Applications: component lifetimes, time to event in clinical trials, wind speeds, extreme-value Type III.
Joint, Marginal, and Conditional Distributions is your weakest prerequisite with available questions. You haven't been assessed on this topic yet.
Sign in to track your mastery and see personalized gap analysis.