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Intermediate Statistical Methods

  • Book
  • © 1981

Overview

Authors:
  1. G. Barrie Wetherill

    1. University of Kent, Canterbury, UK

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xvi
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  2. Some properties of basic statistical procedures

    • G. Barrie Wetherill
    Pages 1-23

  3. Regression and the linear model

    • G. Barrie Wetherill
    Pages 24-46

  4. Statistical models and statistical inference

    • G. Barrie Wetherill
    Pages 47-73

  5. Properties of the method of maximum likelihood

    • G. Barrie Wetherill
    Pages 74-102

  6. The method of least squares

    • G. Barrie Wetherill
    Pages 103-129

  7. Multiple regression: Further analysis and interpretation

    • G. Barrie Wetherill
    Pages 130-156

  8. Polynomial regression

    • G. Barrie Wetherill
    Pages 157-170

  9. The use of transformations

    • G. Barrie Wetherill
    Pages 171-184

  10. Correlation

    • G. Barrie Wetherill
    Pages 185-198

  11. The analysis of variance

    • G. Barrie Wetherill
    Pages 199-228

  12. Designs with regressions on the treatment effects

    • G. Barrie Wetherill
    Pages 229-245

  13. An analysis of data on trees

    • G. Barrie Wetherill
    Pages 246-253

  14. The analysis of variance: Subsidiary analyses

    • G. Barrie Wetherill
    Pages 254-275

  15. Components of variance

    • G. Barrie Wetherill
    Pages 276-306

  16. Crossed classifications

    • G. Barrie Wetherill
    Pages 307-330

  17. Further analysis of variance

    • G. Barrie Wetherill
    Pages 331-341

  18. The generalized linear model

    • G. Barrie Wetherill
    Pages 342-353

  19. Back Matter

    Pages 354-390
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Keywords

About this book

This book began many years ago as course notes for students at the University of Bath, and later at the University of Kent. Students used draft versions of the chapters, which were consequently revised. Second and third year students, as well as those taking MSc courses have used selections of the chapters. In particular, Chapters I to 7 (only) have been the basis of a very successful second-year course, the more difficult sections being omitted. The aims of this particular course were:- (a) to cover some interesting and useful applications of statistics with an emphasis on applications, but with really adequate theory; (b) to lay the foundations for interesting third-year courses; (c) to tie up with certain areas of pure mathematics and numerical analysis. 2 Students will find Chapter I a useful means of revising the t, X and F procedures, which is material assumed in this text, see Section 1.1. Later sections of Chapter I cover robustness and can be omitted by second-year students or at a first reading. Chapter 2 introduces some simple statistical models, so that the discussion of later chapters is more meaningful.

Authors and Affiliations

  • University of Kent, Canterbury, UK

    G. Barrie Wetherill

Bibliographic Information

  • Book Title: Intermediate Statistical Methods

  • Authors: G. Barrie Wetherill

  • DOI: https://doi.org/10.1007/978-94-009-5836-4

  • Publisher: Springer Dordrecht

  • eBook Packages: Springer Book Archive

  • Copyright Information: G Barrie Wetherill 1981

  • Softcover ISBN: 978-0-412-16450-7Published: 18 June 1981

  • eBook ISBN: 978-94-009-5836-4Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XVI, 392

  • Topics: Science, Humanities and Social Sciences, multidisciplinary

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