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Selected Papers: Springer Collected Works in Mathematics

Autor Jacob Wolfowitz Editat de Jack Kiefer Udo Augustin, Lionel Weiss
en Limba Engleză Paperback – 7 dec 2015
From the Introduction: "This volume of selected papers of Jacob Wolfowitz is published to honor the 70th birthday of this leader of research in statistical inference and information theory...We have made an attempt to organize the material into sections based on subject matter. Since Wolfowitz's many interests have persisted over time, the sections do not represent chronological divisions...We have tried to choose the papers we regarded as most important among Wolfowitz's work in terms of their further influence, or sometimes a paper that contains what we found a striking idea of him. A further consideration was the lucidity of his explanations that we mentioned in describing his teaching; some of his papers contain intuition of heuristics that no statistician should miss."
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Specificații

ISBN-13: 9781493934034
ISBN-10: 1493934031
Pagini: 642
Ilustrații: XXV, 642 p.
Dimensiuni: 155 x 235 x 34 mm
Greutate: 0.93 kg
Ediția:1st ed. 1980, Reprint 2015 of the 1980 edition
Editura: Springer
Colecția Springer
Seria Springer Collected Works in Mathematics

Locul publicării:New York, NY, United States

Public țintă

Research

Textul de pe ultima copertă

From the Introduction: "This volume of selected papers of Jacob Wolfowitz is published to honor the 70th birthday of this leader of research in statistical inference and information theory...We have made an attempt to organize the material into sections based on subject matter. Since Wolfowitz's many interests have persisted over time, the sections do not represent chronological divisions...We have tried to choose the papers we regarded as most important among Wolfowitz's work in terms of their further influence, or sometimes a paper that contains what we found a striking idea of him. A further consideration was the lucidity of his explanations that we mentioned in describing his teaching; some of his papers contain intuition of heuristics that no statistician should miss."