Some General Results on Time-Ordered Classification

Abstract

The paper examines some properties of inference about the point in a sequence of random variables at which a distribution change occurs. Three particular aspects are considered: asymptotic theory, approximations to test power, and use of discriminant functions other than the likelihood ratio. The discussion is illustrated by some examples.

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Document Details

Document Type
Technical Report
Publication Date
Jul 30, 1971
Accession Number
AD0730502

Entities

People

  • D. V. Hinkley

Organizations

  • Stanford University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Asymptotic Normality
  • Classification
  • Contractors
  • Contracts
  • Data Analysis
  • Data Mining
  • Data Science
  • Distribution Functions
  • Information Science
  • Normal Distribution
  • Probability
  • Random Variables
  • Random Walk
  • Security
  • Sequences
  • Statistical Analysis
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Statistical inference.

Technology Areas

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