The Application of Stochastic Approximation Methods to the Bio-Assay Problem.

Abstract

A new general model for the bio-assay problem is introduced. It is shown that when the slope of the dose-response curve and the median effective dose is known, the Robbins-Monro method yields an asymptotically optimal estimation procedure. Adaptive procedures are discussed for the case of unknown slope. Results of Monte Carlo studies are given. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 02, 1976
Accession Number
ADA031054

Entities

People

  • Dan Anbar

Organizations

  • Case Western Reserve University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Animals
  • Assays
  • Asymptotic Normality
  • Computer Simulations
  • Equations
  • Estimators
  • Mathematics
  • Military Research
  • Numbers
  • Observation
  • Probability
  • Random Variables
  • Real Numbers
  • Real Variables
  • Sequences
  • Simulations
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.

Technology Areas

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