A Nonparametric Estimator of the Survival Function under Progressive Censoring,

Abstract

A nonparametric estimator of the survival function F is constructed from time-sequential progressively censored data when F is a Dirichlet process. The estimator is shown to encompass several known estimators of F including the product-limit estimator and Ferguson's estimator. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1981
Accession Number
ADA111859

Entities

People

  • Joseph C. Gardiner
  • V. Susarla

Organizations

  • Michigan State University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Asymptotic Normality
  • Data Analysis
  • Data Mining
  • Data Science
  • Data Sets
  • Distribution Functions
  • Estimators
  • Gaussian Processes
  • Information Science
  • Military Research
  • New York
  • Probability
  • Random Variables
  • Statistical Algorithms
  • Statistical Samples
  • Statistics
  • Survival

Fields of Study

  • Mathematics

Readers

  • Statistical inference.