Accession Number:

AD0733051

Title:

Maximum Likelihood Estimation with Incomplete Multinomial Data.

Descriptive Note:

Themis optimization research program,

Corporate Author:

TEXAS A AND M UNIV COLLEGE STATION INST OF STATISTICS

Personal Author(s):

Report Date:

1971-08-01

Pagination or Media Count:

25.0

Abstract:

When sampling from a multinomial population, it may happen either by chance or by design that some of the observations are only partially classified. In the paper the amount of information in the partially classified observation is evaluated, and maximum likelihood estimators are obtained using both completely classified and partially classified data. In general an iterative solution is required, but special cases are identified in which the solution is obtained in closed form. Author

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE