1. Grouping data in this way obscures the underlying trend.

2. In addition, two small staff groups, data processing and personnel, and the legal counsel reported directly to the president.

3. Model description and likelihood function with grouped data.

4. Raw Data can be converted into Grouped Data.

5. A new growth test method for grouped data is presented.

6. Using the power law model, the grouped data of a software failure containing breakpoint are analysed.

7. Data can be entered as Raw Data, Grouped Data, or as Summary Data.

8. In this part, we give the description of the competing risk mixture model and the likelihood function with grouped data. 3. Asymptotic properties of MLE.

9. We get approximate confidence limit of reliability of series system based on grouped data or binary data of k exponential type components.

10. Objective To explore a suitable calculating method of percentile for un - grouped data.