Accession Number : ADA116174

Title :   Kernel-Based Density Estimation Using Censored, Truncated or Grouped Data.

Descriptive Note : Technical summary rept.,

Corporate Author : WISCONSIN UNIV-MADISON MATHEMATICS RESEARCH CENTER

Personal Author(s) : Titterington,D M

PDF Url : ADA116174

Report Date : May 1982

Pagination or Media Count : 21

Abstract : Censoring, truncation and grouping represent different but related forms of incompleteness. Methods of producing kernel functions on the incomplete observations are proposed. They involve substituting for or averaging over the incomplete observations. Consistency of the procedures in terms of the criterion of integrated mean squared error is established and optimal choice of smoothing parameter is achieved. (Author)

Descriptors :   *Estimates, *Kernel functions, Observatories, Mean, Errors, Square roots, Consistency, Optimization, Truncation, Groups(Mathematics)

Subject Categories : Theoretical Mathematics

Distribution Statement : APPROVED FOR PUBLIC RELEASE