Sampling Algorithms

  • Yves Tillé

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

Table of contents

  1. Front Matter
    Pages I-XI
  2. Pages 31-39
  3. Pages 99-121
  4. Pages 147-176
  5. Back Matter
    Pages 181-217

About this book

Introduction

Over the last few decades, important progresses in the methods of sampling have been achieved. This book draws up an inventory of new methods that can be useful for selecting samples. Forty-six sampling methods are described in the framework of general theory. The algorithms are described rigorously, which allows implementing directly the described methods. This book is aimed at experienced statisticians who are familiar with the theory of survey sampling.Yves Tillé is a professor at the University of Neuchâtel (Switzerland)

Keywords

algorithms design framework probability

Authors and affiliations

  • Yves Tillé
    • 1
  1. 1.Institut de StatistiqueUniversité de NeuchâtelNeuchâtelSwitzerland

Bibliographic information

  • DOI https://doi.org/10.1007/0-387-34240-0
  • Copyright Information Springer Science+Business Media, Inc. 2006
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-30814-2
  • Online ISBN 978-0-387-34240-5
  • Series Print ISSN 0172-7397
  • About this book