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Advanced Statistics

Description of Populations

  • Book
  • © 1996

Overview

Authors:
  1. Shelby J. Haberman

    1. Department of Statistics, Northwestern University, Evanston, USA

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Part of the book series: Springer Series in Statistics (SSS)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xvii
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  2. Populations, Measurements, and Parameters

    • Shelby J. Haberman
    Pages 1-86

  3. Expectations and Daniell Integrals

    • Shelby J. Haberman
    Pages 87-125

  4. Random Variables and Measurable Functions

    • Shelby J. Haberman
    Pages 127-198

  5. Construction of Daniell Integrals

    • Shelby J. Haberman
    Pages 199-263

  6. Least Squares

    • Shelby J. Haberman
    Pages 265-323

  7. Independence and Dependence

    • Shelby J. Haberman
    Pages 325-366

  8. Quantiles

    • Shelby J. Haberman
    Pages 367-404

  9. Moments

    • Shelby J. Haberman
    Pages 405-467

  10. Back Matter

    Pages 469-490
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Keywords

About this book

Advanced Statistics provides a rigorous development of statistics that emphasizes the definition and study of numerical measures that describe population variables. Volume 1 studies properties of commonly used descriptive measures. Volume 2 considers use of sampling from populations to draw inferences concerning properties of populations. The volumes are intended for use by graduate students in statistics and professional statisticians, although no specific prior knowledge of statistics is assumed. The rigorous treatment of statistical concepts requires that the reader be familiar with mathematical analysis and linear algebra, so that open sets, continuous functions, differentials, Raman integrals, matrices, and vectors are familiar terms.

Authors and Affiliations

  • Department of Statistics, Northwestern University, Evanston, USA

    Shelby J. Haberman

Bibliographic Information

  • Book Title: Advanced Statistics

  • Book Subtitle: Description of Populations

  • Authors: Shelby J. Haberman

  • Series Title: Springer Series in Statistics

  • DOI: https://doi.org/10.1007/978-1-4757-4417-0

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1996

  • Hardcover ISBN: 978-0-387-94717-4Published: 20 June 1996

  • Softcover ISBN: 978-1-4419-2850-4Published: 06 December 2010

  • eBook ISBN: 978-1-4757-4417-0Published: 14 March 2013

  • Series ISSN: 0172-7397

  • Series E-ISSN: 2197-568X

  • Edition Number: 1

  • Number of Pages: XVIII, 490

  • Topics: Probability Theory and Stochastic Processes

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