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Quantile Processes with Statistical Applications

Quantile Processes with Statistical Applications

$53.00 (C)

Part of CBMS-NSF Regional Conference Series in Applied Mathematics

  • Date Published: January 1987
  • availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
  • format: Paperback
  • isbn: 9780898711851


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About the Authors
  • Provides a comprehensive theory of the approximations of quantile processes in light of recent advances, as well as some of their statistical applications.

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    Product details

    • Date Published: January 1987
    • format: Paperback
    • isbn: 9780898711851
    • length: 170 pages
    • dimensions: 250 x 175 x 14 mm
    • weight: 0.336kg
    • availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
  • Table of Contents

    A Preliminary Study of Quantile Processes
    A Weak Convergence of the Normed Sample Quantile Process
    Strong Approximations of the Normed Quantile Process
    Two Approaches to Constructing Simultaneous Confidence Bounds for Quantiles
    Weak Convergence of Quantile Processes in Weighted Sup-Norm Metrics and Further Strong Approximations
    On Bahadur's Representation of Sample Quantiles and on Kiefer's Theory of Deviations Between the Sample Quantile and Empirical Processes
    Quadratic Forms of the Quantile Process. Weighted Spacings and Testing for Composite Goodness-of-Fit
    Strong Approximations of the Quantile Process of the Product-Limit Estimator
    An Invariance Principle for Nearest-Neighbor Empirical Density Functions
    A Nearest- Neighbor Estimator for the Score Function.

  • Author

    Miklos Csorgo

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