A review of statistical methods for data sets with multiple censoring points
This report reviews and summarizes recent literature on statistical methods for analyzing data sets that are censored by multiple censoring points. This report is organized as follows. Following the introductory comments in Section 2, a brief discussion of detection limits is given in Section 3. Sections 4 and 5 focus on data analysis methods for estimating parameters and testing hypotheses, respectively, when data sets are left censored with multiple censoring points. A list of publications that deal with a variety of other applications for censored data sets is provided in Section 6. Recommendations on future research for developing new or improved tools for statistically analyzing multiple left-censored data sets are provided in Section 7. The list of references is in Section 8.
- Research Organization:
- Battelle Pacific Northwest Labs., Richland, WA (United States)
- Sponsoring Organization:
- USDOE Assistant Secretary for Human Resources and Administration, Washington, DC (United States)
- DOE Contract Number:
- AC06-76RL01830
- OSTI ID:
- 650341
- Report Number(s):
- PNL-10652; ON: DE98051240; TRN: AHC2DT04%%255
- Resource Relation:
- Other Information: PBD: 6 Jul 1995
- Country of Publication:
- United States
- Language:
- English
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