Intermediate Statistical Methods

  • G. Barrie Wetherill

Table of contents

  1. Front Matter
    Pages i-xvi
  2. G. Barrie Wetherill
    Pages 1-23
  3. G. Barrie Wetherill
    Pages 24-46
  4. G. Barrie Wetherill
    Pages 47-73
  5. G. Barrie Wetherill
    Pages 74-102
  6. G. Barrie Wetherill
    Pages 103-129
  7. G. Barrie Wetherill
    Pages 157-170
  8. G. Barrie Wetherill
    Pages 171-184
  9. G. Barrie Wetherill
    Pages 185-198
  10. G. Barrie Wetherill
    Pages 199-228
  11. G. Barrie Wetherill
    Pages 229-245
  12. G. Barrie Wetherill
    Pages 246-253
  13. G. Barrie Wetherill
    Pages 254-275
  14. G. Barrie Wetherill
    Pages 276-306
  15. G. Barrie Wetherill
    Pages 307-330
  16. G. Barrie Wetherill
    Pages 331-341
  17. G. Barrie Wetherill
    Pages 342-353
  18. Back Matter
    Pages 354-390

About this book

Introduction

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.

Keywords

analysis of variance classification correlation estimator experiment generalized linear model interaction likelihood mathematics media numerical analysis regression analysis statistical inference statistics university

Authors and affiliations

  • G. Barrie Wetherill
    • 1
  1. 1.University of KentCanterburyUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-009-5836-4
  • Copyright Information Springer Science+Business Media B.V. 1981
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-412-16450-7
  • Online ISBN 978-94-009-5836-4
  • About this book