On the Mean Squared Error of Nonparametric Quantile Estimators under Random Right-Censorship.

Abstract

For randomly right-censored data, new asymptotic expressions for the mean squared errors of the product-limit quantile estimator and a kernel-type quantile estimator are presented in this paper. From these results a comparison of the two quantile estimators with respect to their mean squared errors is given. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1986
Accession Number
ADA174517

Entities

People

  • William J. Padgett
  • Y. L. Lio

Organizations

  • University of South Carolina

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Asymptotic Normality
  • Censorship
  • Classification
  • Data Science
  • Distribution Functions
  • Information Science
  • Kernel Functions
  • Mathematics
  • Probability Distributions
  • Random Variables
  • Scientific Research
  • South Carolina
  • Statistical Analysis
  • Statistics
  • Theorems
  • Universities

Fields of Study

  • Mathematics

Readers

  • Statistical inference.