Statistical Inference with Delayed Data.

Abstract

Problems of inference from data accumulating at the random times new species are discovered were studied. Procedures for estimating a variety of characteristics of the population and for predicting the random probability that a next search will uncover a new species were developed. A death process was interposed and estimates of the size of a population and the mean life of its members were obtained. Results for a one-armed bandit in the presence of concomitant information were developed. These results apply to the sequential allocaiton of treatments in medical trials. Optimal and adaptive stopping based on the maximum of a sequence of dependent observations were studied. The results are likely to have application to the choice of components in redundant systems and to adaptive quality control. Methods have been derived to estimate the true significance level resulting from repeated significance tests. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 30, 1979
Accession Number
ADA069305

Entities

People

  • Michael B. Woodroofe
  • Norman Starr

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Bayesian Networks
  • Computational Science
  • Data Science
  • Information Science
  • Language
  • Military Research
  • Models
  • Personality
  • Probability
  • Quality Control
  • Random Variables
  • Simulations
  • Standards
  • Statistical Algorithms
  • Statistical Inference
  • Statistics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Calculus or Mathematical Analysis
  • Oncology

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms