ESTIMATION OF PARAMETERS WITH INCOMPLETE DATA.
Abstract
A general approach is described for the problem of estimating parameters in a multivariate distribution with incomplete or fragmentary data. Special attention is given to the case of multivariate normal populations but an example with the multinomial distribution is given to indicate the generality of the method. The approach taken in this paper is also applicable to the problem of optimally combining information from different sources when the different sources may provide only fragmentary information.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 1969
- Accession Number
- AD0691214
Entities
People
- B. R. Waldron
- H. H. Oxspring
- R. R. Hocking
- W. B. Smith
Organizations
- Texas A&M University