Weak Convergence for Exponential and Monotone Likelihood Ratio Families and the Convergence of Confidence Limits.

Abstract

Two convergence theorems for one-sided confidence limits for exponential and monotone likelihood ratio families are given. In addition, for some special exponential families, the class of discrete limit distributions is characterized and a uniqueness result obtained. Examples of the above results are given. Applications to hypothesis testing and confidence limits are indicated.

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1975
Accession Number
ADA010097

Entities

People

  • Andrew P. Soms
  • Bernard Harris

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Confidence Limits
  • Convergence
  • Data Science
  • Information Science
  • Weak Convergence

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Computational Modeling and Simulation