On Order Statistics and Some Applications of Combinatorial Methods in Statistics.

Abstract

The objective of the present report is to present some of the basic results in the theory of order statistics, describe the trend of the work done in certain areas by referring to the landmark papers and indicate some of the recent results. After a brief description of the basic theory (Section 2) and the results concerning moments and inequalities (Section 3), some important asymptotic results of Gnedenko, Smirnov, Renyi, Berman and Kiefer have been discussed in Section 4. The next two sections deal with some applications of combinatorial methods in the theory of order statistics and fluctation theory. These results are mainly conerned with the applications of the ballot lemma and its generalizations and the use of the equivalence principle. Section 7 gives an outline of some problems in estimation and hypothesis testing. The last section discusses the role of order statistics in the subset selection problems and the algebraic structure involved in identification problems. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1971
Accession Number
AD0731057

Entities

People

  • S. Panchapakesan
  • Shanti Gupta

Organizations

  • Purdue University

Tags

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Cooperation
  • Data Science
  • Identification
  • Illinois
  • Inequalities
  • Information Science
  • Interdisciplinary Science
  • Mathematics
  • Order Statistics
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Business Analytics
  • Mathematical Modeling and Probability Theory.
  • Statistical inference.