Exponential Law Course
Gain expertise in the exponential distribution for reliability analysis. Learn to manage censored data, estimate failure rates and mean time to failure, validate models with plots and tests, calculate risk metrics, and communicate findings effectively to engineers and managers in practical settings.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course offers a quick, hands-on guide to modelling time-to-failure data using the exponential distribution. You will master parameter estimation, censoring methods, maximum likelihood estimation for complete and right-censored data, confidence intervals, and goodness-of-fit tests. Gain skills in calculating event probabilities and delivering straightforward results, charts, and scripts for engineering and reliability applications.
Elevify advantages
Develop skills
- Model exponential failure times: quickly build, interpret, and validate rate models.
- Manage censored data in reliability: properly clean, visualise, and analyse right-censored observations.
- Estimate lambda and MTTF: perform MLE, confidence intervals, and model diagnostics swiftly.
- Validate exponential models: apply Kaplan-Meier plots, QQ plots, and binned tests efficiently.
- Communicate results to engineers: provide clear insights on warranty, risks, and maintenance.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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