Some Convergence Results for Kernel-Type Quantile Estimators under Censoring.

Abstract

Based on right-censored data from a lifetime distribution, a kernel-type estimator of a certain quantile function is studied. This estimator is smoother than a product-limit quantile function. This document also covers: asymptotic normality; asymptotic mean equivalence; and mean square convergence. Keywords: probability distribution; kernel functions.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1985
Accession Number
ADA162837

Entities

People

  • William J. Padgett
  • Y. L. Lio

Organizations

  • University of South Carolina

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Air Force
  • Asymptotic Normality
  • Censorship
  • Convergence
  • Data Science
  • Distribution Functions
  • Estimators
  • Information Science
  • Kernel Functions
  • Mathematics
  • Normality
  • Probability
  • Probability Distributions
  • Random Variables
  • Statistical Algorithms
  • Statistics
  • Theorems

Fields of Study

  • Mathematics

Readers

  • Statistical inference.