Sampling algorithms /
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Author / Creator: | Tillé, Yves. |
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Imprint: | New York : Springer, c2006. |
Description: | xi, 216 p. : ill. ; 24 cm. |
Language: | English |
Series: | Springer series in statistics |
Subject: | Sampling (Statistics) Algorithms. Algorithms. Sampling (Statistics) |
Format: | Print Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/6000820 |
Summary: | 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. |
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Physical Description: | xi, 216 p. : ill. ; 24 cm. |
Bibliography: | Includes bibliographical references (p. [199]-208) and index. |
ISBN: | 9780387308142 0387308148 |