Course Outline
Biostatistics
– Introduction to statistics
– Descriptive statistics
– Introduction to Probability
– Random variables, (sq. M), distributions sq. and their parameters.
– The main distinct one-dimensional distributions.
– The main continuous one-dimensional distributions.
– Confidence Intervals
– Non-parametric statistics (X2 – Customization check, X2 – Independence check X2 – Homogeneity test –
Applications)
– Dependency – Correlation
– Linear regression – Applications
– System reliability
– Survival function
– Kaplan Meier estimator
Introduction to Probability of Systems Reliability and Survival Analysis
1. Fortune experiments – Sample spaces and contingencies.
2. The concept of probability.
3. Reserved probability – Independence
4. Random variables, (sq. M), distributions sq. and their parameters.
5. The main distinct one-dimensional distributions.
6. The main continuous one-dimensional distributions.
7. Average value of random variable
8. System reliability
9. Reliability function
10. Survival function
11. Hazard Function
12. Kaplan Meier estimator
13. Analogical risk models