Nonparametric Estimation of a Bivariate Survivorship Function with Doubly Censored Data.

Abstract

The problem of nonparametric estimation of a bivariate survivorship function with doubly censored data is considered. A self-consistent estimator is developed by first reducing the problem to that of estimation in a singly and right censored situation. This estimator is shown to satisfy a likelihood equation, and its uniqueness is investigated. The results obtained naturally parallel those obtained in the singly censored case.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1980
Accession Number
ADA081512

Entities

People

  • Ramesh M. Korwar

Organizations

  • University of Massachusetts Amherst

Tags

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Contracts
  • Distribution Functions
  • Equations
  • Estimators
  • Massachusetts
  • Mathematics
  • Maximum Likelihood Estimation
  • Observation
  • Probability
  • Random Variables
  • Scientific Research
  • Statistical Analysis
  • Statistics
  • Universities

Fields of Study

  • Mathematics

Readers

  • Statistical inference.