Accession Number:

ADA135408

Title:

Development of Statistical Techniques to Better Utilize Data Characterized by Being Below Instrument Detection Thresholds and by Small Sample Size.

Descriptive Note:

Final rept. 1 Jul 82-31 Aug 83,

Corporate Author:

VERSAR INC SPRINGFIELD VA

Personal Author(s):

Report Date:

1983-10-24

Pagination or Media Count:

76.0

Abstract:

Estimation of parametric families for small data sets where a significant portion of the data lay below fixed instrument detection thresholds was investigated. Thus the number of data points was random an example of Type I censoring. Both analytic and simulation procedures were utilized. In particular, maximum likelihood techniques, order statistic techniques, truncation techniques, fill-in with constants, and fill-in with expected values of the missing points were investigated. For exponential data, truncation seemed most appropriate while for normal and log-normal data, fill-in with expected values modified to correct for conditioning on the number of data points was best. The criteria for selection was the total square error. Author

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE