ISBN: 9783031613494 - sharp inequalities for ordered random variables in statistics and reliability: volume i: standard order statistics (frontiers in probability and the statistical sciences) (2 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Springer, 2025

    303161349X / 9783031613494

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    Taschenbuch. Zustand: Neu. Sharp Inequalities for Ordered Random Variables in Statistics and Reliability | Volume I: Standard Order Statistics | Narayanaswamy Balakrishnan (u. a.) | Taschenbuch | Frontiers in Probability and the Statistical Sciences | xiv | Englisch | 2025 | Springer | EAN 9783031613494 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

  • Sprache: Englisch

    Verlag: Springer, 2025

    303161349X / 9783031613494

    • Softcover

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book discusses various inequalities and sharp bounds for the usual order statistics as well as some functions of them. In particular, deterministic bounds, bounds for the case of IID samples from general, symmetric and life distributions, IID samples from shape restricted family of distributions, and samples from finite populations are all discussed in detail. An elaborate numerical evaluation and comparison of various bounds are also presented in order to illustrate their inherent differences as well as their precision. Furthermore, their applications to inference, reliability theory and characterizations are also highlighted.The book provides an in-depth exposure to various mathematical inequalities and bounds established historically as well as in recent years and their applications to order statistics and some important functions of them. It thus presents an up-to-date discussion of all results in this important area of mathematical and statistical research. The results described here are general in nature and therefore could be useful in other areas of Probability and Statistics as well.…