A note on the full-information poisson arrival selection problem

Aiko Kurushima, Katsunori Ano

研究成果: Article

2 引用 (Scopus)

抜粋

This note studies a Poisson arrival selection problem for the full-information case with an unknown intensity λ which has a Gamma prior density G(r, 1/a), where a > 0 and r is a natural number. For the no-information case with the same setting, the problem is monotone and the one-step look-ahead rule is an optimal stopping rule; in contrast, this note proves that the full-information case is not a monotone stopping problem.

元の言語English
ページ(範囲)1147-1154
ページ数8
ジャーナルJournal of Applied Probability
40
発行部数4
DOI
出版物ステータスPublished - 2003 12 1

ASJC Scopus subject areas

  • Statistics and Probability
  • Mathematics(all)
  • Statistics, Probability and Uncertainty

フィンガープリント A note on the full-information poisson arrival selection problem' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用