Inferences on Sample Size: Sequences of Samples
Abstract
In earlier papers various aspects of analysis of possibly incomplete random samples have been discussed. These analyses all apply to data from a single random sample only. The present paper describes some extensions of these methods when sets of samples are available. When more than one sample is available, the field of hypotheses, alternate to that of having complete samples, becomes much richer. Some of the more interesting possible situations are discussed, though no exhaustive general theory is developed. A secondary aim of this paper is to lay foundations for later extension of the methods to cases when the analytical forms of the distribution(s) of observed random variable(s) are not completely known.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 1971
- Accession Number
- AD0735698
Entities
People
- Norman L. Johnson
Organizations
- University of North Carolina at Chapel Hill