A SEQUENTIAL MULTIPLE-DECISION PROCEDURE FOR SELECTING THE BEST ONE OF SEVERAL NORMAL POPULATIONS WITH A COMMON UNKNOWN VARIANCE. II. MONTE CARLO SAMPLING RESULTS AND NEW COMPUTING FORMULAE

Abstract

Contents: Statement of the statistical problem S atistical assumptions The experimenter's goal, specification, and requirement Procedure D and the new computing formulae Description of Procedure D Definition of symbols The sampling, stopping, and terminal de cision rules Computation of the stopping statistic Use of Procedure D (method B) with various experimental designs Simplified computing formulae Numerical example Monte Carlo sampling results with Procedure D Description of the sampling procedure Sampling results Discussion of sampling results

Document Details

Document Type
Technical Report
Publication Date
May 01, 1961
Accession Number
AD0257405

Entities

People

  • Robert E. Bechhofer
  • Saul Blumenthal

Organizations

  • Cornell University

Tags

DTIC Thesaurus Topics

  • Computations
  • Data Science
  • Experimental Design
  • Information Science
  • Mathematical Analysis
  • Mathematics
  • Sampling
  • Specifications
  • Terminals

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Snow Cover Descriptors for Reptiles and Their Illustrations.