Accession Number:

ADA011273

Title:

Extreme Sample Censoring Problems with Multivariate Data - I.

Descriptive Note:

Technical rept.,

Corporate Author:

NORTH CAROLINA UNIV CHAPEL HILL DEPT OF STATISTICS

Personal Author(s):

Report Date:

1975-06-01

Pagination or Media Count:

11.0

Abstract:

This paper contains a discussion of ways in which problems of the kind described in previous papers may arise in connection with multivariate data. Censoring of univariate data can be generalized in many different ways, and there is a corresponding variety of problems connected with the detection of such censoring. In this paper, the author describes some classes of problems and indicates methods for their solution. Later reports will contain details for specific problems, and relevant numerical tables.

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE