Optimal Strategies for Second Guessers.

Abstract

A model is given for a class of contests in which the participants try to guess (or estimate) unknown quantities, and the objective of each player is to come closer to the unknown quantities than his adversary. A general optimality result is proved which gives the best guessing rules for the second guesser. These rules are first calculated exactly in a certain hierarchical linear model, and then simpler approximate rules are given. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Feb 25, 1980
Accession Number
ADA087897

Entities

People

  • J. Michael Steele
  • Jim Zidek

Organizations

  • Stanford University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Bayesian Networks
  • Chemical Industry
  • Computations
  • Data Science
  • Data Sets
  • Estimators
  • Information Science
  • Military Research
  • Models
  • New York
  • Normality
  • Probability
  • Statistical Analysis
  • Statistical Inference
  • Statistics
  • United States
  • United States Government

Fields of Study

  • Mathematics

Readers

  • Game Theory.
  • Regression Analysis.