Bayesian Estimation of the Binomial Parameter n.

Abstract

A recent paper by Feldman and Fox (1968) discussed the estimation of the parameter n in the binomial distribution when the other parameter p is known. This paper gives a Bayesian treatment of the problem both when p is known and when p is unknown. The Bayesian approach is a very practical one and is especially easy to apply in small problems because less computing is involved. It also does not require any appeal to asymptotic distributional results. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1971
Accession Number
AD0717606

Entities

People

  • I. Guttman
  • Norman Richard Draper

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Bayesian Networks
  • Binomials
  • Mathematical Models
  • Mathematics
  • Models

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.
  • Operations Research
  • Regression Analysis.

Technology Areas

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