An edition of Game theory, optimal stopping, probability and statistics (2000)

Game theory, optimal stopping, probability and statistics

papers in honor of Thomas S. Ferguson

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Cover of: Game theory, optimal stopping, probability and statistics by F. Thomas Bruss and Lucien Le Cam, editors.
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Last edited by MARC Bot
February 17, 2019 | History
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An edition of Game theory, optimal stopping, probability and statistics (2000)

Game theory, optimal stopping, probability and statistics

papers in honor of Thomas S. Ferguson

by and

  • 0 Ratings
  • 1 Want to read
  • 0 Currently reading
  • 0 Have read

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Publish Date
Publisher
Institute of Mathematical Statistics
Language
English
Pages
324

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Previews available in: English

Subjects
Mathematical statistics, Game theory, Optimal stopping (Mathematical statistics)

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Edition Availability
Cover of: Game Theory, Optimal Stopping, Probability & Statistics
Game Theory, Optimal Stopping, Probability & Statistics: Paper in Honor of Thomas S. Ferguson (Institute of Mathematical Statistics Lecture Notes Monograph, Volume 35)
June 2000, Inst of Mathematical Statistic
Paperback in English
Libraries near you: WorldCat
Cover of: Game theory, optimal stopping, probability and statistics
Game theory, optimal stopping, probability and statistics: papers in honor of Thomas S. Ferguson
2000, Institute of Mathematical Statistics
in English
  • Not in Library
Libraries near you: WorldCat

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Book Details

Edition Notes

Includes bibliographical references.

Published in
Beachwood, Ohio
Series
Lecture notes-monograph series ;, v. 35

Classifications

Dewey Decimal Class
519.3
Library of Congress
QA269 .G355 2000

The Physical Object

Pagination
xvi, 324 p. :
Number of pages
324

ID Numbers

Open Library
OL6801726M
Internet Archive
gametheoryoptima00brus
ISBN 10
094060048X
LCCN
00134235
OCLC/WorldCat
45951168
Library Thing
8615191
Goodreads
4633118

Source records

Scriblio MARC record
Internet Archive item record
Library of Congress MARC record
marc_columbia MARC record

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February 17, 2019 Created by MARC Bot import existing book